Triple
T38307672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonardo AW149 |
E1032394
|
entity |
| Predicate | manufacturerPreviousName |
P1501
|
FINISHED |
| Object | AgustaWestland |
—
|
NE NERFINISHED |
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: AgustaWestland | Statement: [Leonardo AW149, manufacturerPreviousName, AgustaWestland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerPreviousName Context triple: [Leonardo AW149, manufacturerPreviousName, AgustaWestland]
-
A.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
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.
predecessorCompany
Indicates that one company previously existed in a role or form that was succeeded or replaced by another company.
-
D.
predecessorPowerUnitSupplier
Indicates that one power unit supplier previously supplied or held the role before another in a temporal or sequential relationship.
-
E.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.