Triple
T7388661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMTR |
E170444
|
entity |
| Predicate | associatedCompanyStatus |
P15705
|
FINISHED |
| Object | acquired |
—
|
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: acquired | Statement: [OMTR, associatedCompanyStatus, acquired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyStatus Context triple: [OMTR, associatedCompanyStatus, acquired]
-
A.
associatedCompanyFate
chosen
Indicates that there is a relationship between an entity and the outcome or final status (e.g., closure, acquisition, bankruptcy) of a company with which it is or was associated.
-
B.
associatedStatus
Indicates that one entity is linked to or characterized by a particular status or condition.
-
C.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
D.
associatedPeopleStatus
Indicates the role, condition, or standing of people who are connected or linked to a given entity or event.
-
E.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:09 p.m.