Triple
T22915220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Golf Championships events |
E568716
|
entity |
| Predicate | notableSponsor |
P1807
|
FINISHED |
| Object | Accenture |
—
|
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: Accenture | Statement: [World Golf Championships events, notableSponsor, Accenture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Accenture Context triple: [World Golf Championships events, notableSponsor, Accenture]
-
A.
Accenture
chosen
Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
-
B.
Cognizant
Cognizant is a multinational information technology services and consulting company known for providing digital, technology, consulting, and operations services to clients worldwide.
-
C.
Deloitte
Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
-
D.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
E.
DXC Technology
DXC Technology is a global IT services and consulting company that provides technology solutions and outsourcing services to enterprises and governments worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18078077881908b8124cc22110c6e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.