Triple
T3802038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxus |
E91709
|
entity |
| Predicate | brandPredecessor |
P1501
|
FINISHED |
| Object |
LDV
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
|
E388721
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LDV | Statement: [Maxus, brandPredecessor, LDV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LDV Context triple: [Maxus, brandPredecessor, LDV]
-
A.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
B.
LSV
LSV is the IATA airport code for the military airfield serving Nellis Air Force Base near Las Vegas, Nevada.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LRD
LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
-
E.
LDF
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LDV Triple: [Maxus, brandPredecessor, LDV]
Generated description
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LDV Target entity description: LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
-
A.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
B.
LSV
LSV is the IATA airport code for the military airfield serving Nellis Air Force Base near Las Vegas, Nevada.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LRD
LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
-
E.
LDF
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandPredecessor Context triple: [Maxus, brandPredecessor, LDV]
-
A.
predecessorFranchise
Indicates that one franchise directly precedes and is succeeded by another franchise in a series or lineage.
-
B.
formerBrand
chosen
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
predecessorSystem
Indicates that one system existed or was in use before and was replaced or superseded by another system.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
successorBranding
Indicates that one brand has replaced or continued another brand as its subsequent or updated identity.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f066e30481909e5baa630f3539e4 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f21d7410819084b521a7c4a4b151 |
completed | March 14, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f275d18c81909e93a6ff11fa66b4 |
completed | March 14, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.