Triple
T28138657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Freight Corporation |
E714279
|
entity |
| Predicate | ownedOrOperated |
P13496
|
FINISHED |
| Object | large national lorry fleet |
—
|
LITERAL FINISHED |
How this triple was built (2 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: large national lorry fleet | Statement: [National Freight Corporation, ownedOrOperated, large national lorry fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedOrOperated Context triple: [National Freight Corporation, ownedOrOperated, large national lorry fleet]
-
A.
ownedAndOperatedStatus
Indicates that one entity both owns and actively operates another entity, such as a business, facility, or asset.
-
B.
ownsOrManages
chosen
Indicates that one entity has ownership of, or managerial control over, another entity.
-
C.
oftenOperatedBy
Indicates that an entity is frequently or typically operated, controlled, or run by another entity.
-
D.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
E.
publiclyOperatedBy
Indicates that an entity is managed or run by a public or government organization.
- F. None of above.
Provenance (3 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 9:51 p.m.