Triple
T10502717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABT |
E247709
|
entity |
| Predicate | associatedCompanyGlobalScope |
P94527
|
FINISHED |
| Object | Multinational |
—
|
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: Multinational | Statement: [ABT, associatedCompanyGlobalScope, Multinational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyGlobalScope Context triple: [ABT, associatedCompanyGlobalScope, Multinational]
-
A.
associatedCompanyFate
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.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
C.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
D.
associatedCompanyFormerlyIndependent
Indicates that the associated company was once an independent entity before becoming linked to or integrated with another organization.
-
E.
memberCompany
Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099c6a848190bf1d5361e9e61108 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:25 p.m.