Triple
T33585156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Motors Corporation |
E860258
|
entity |
| Predicate | partialAcquisitionBy |
P57450
|
FINISHED |
| Object | Renault |
—
|
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: Renault | Statement: [American Motors Corporation, partialAcquisitionBy, Renault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partialAcquisitionBy Context triple: [American Motors Corporation, partialAcquisitionBy, Renault]
-
A.
partOfAcquisition
chosen
Indicates that one entity is included as a component or element within a larger acquisition event or transaction involving another entity.
-
B.
partialRecaptureIn
Indicates that an entity is only partially recovered or regained within a specified context, location, or timeframe.
-
C.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
D.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means of another entity.
-
E.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:40 a.m.