Triple
T32030853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GenCorp |
E817952
|
entity |
| Predicate | hasFormerBusiness |
P193725
|
FINISHED |
| Object | tire manufacturing |
—
|
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: tire manufacturing | Statement: [GenCorp, hasFormerBusiness, tire manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerBusiness Context triple: [GenCorp, hasFormerBusiness, tire manufacturing]
-
A.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
hasBusinessIn
Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
-
C.
hasPastOccupation
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
D.
hadPrimaryBusinessModel
Indicates that an entity’s main or central way of generating revenue or creating economic value was based on a specified business model.
-
E.
hasFormerVenueType
Indicates that an entity previously had a specific type of venue, but that venue type is no longer current.
- F. None of above. chosen
Provenance (4 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 1, 2026, 12:18 a.m.