Triple
T10502690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABT |
E247709
|
entity |
| Predicate | associatedCompanyTradedAs |
P94522
|
FINISHED |
| Object | S&P 100 component |
—
|
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: S&P 100 component | Statement: [ABT, associatedCompanyTradedAs, S&P 100 component]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyTradedAs Context triple: [ABT, associatedCompanyTradedAs, S&P 100 component]
-
A.
associatedCompanyFormerlyIndependent
Indicates that the associated company was once an independent entity before becoming linked to or integrated with another organization.
-
B.
underlyingCompanyFormerName
Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
-
C.
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.
-
D.
nicknameOfOriginalHoldingCompanies
Indicates that one or more nicknames are associated with the original holding companies.
-
E.
formerParentCompany
Indicates that one entity previously served as the parent company of another but no longer holds that status.
- 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.