Triple
T4683496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillsborough Stadium |
E103859
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Hillsborough |
E130502
|
NE 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: Hillsborough | Statement: [Hillsborough Stadium, hasNickname, Hillsborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hillsborough Context triple: [Hillsborough Stadium, hasNickname, Hillsborough]
-
A.
Hillsborough
chosen
Hillsborough is a historic football stadium in Sheffield, England, best known as the long-time home of Sheffield Wednesday F.C.
-
B.
Hillsborough
Hillsborough is an affluent residential town in San Mateo County, California, known for its large estates, wooded hills, and strict zoning that preserves its suburban character.
-
C.
Hillsborough
Hillsborough is a historic village in County Down, Northern Ireland, known for Hillsborough Castle, the official royal residence in Northern Ireland.
-
D.
Pelham
Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
-
E.
Pelham
Pelham is an English surname historically associated with prominent political and aristocratic families in Britain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638130a08190876c5829c0488758 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b07664819097d959fde1b0585b |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.