Triple
T36350628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Crown 2004 |
E895191
|
entity |
| Predicate | homeNationWinner |
P185156
|
FINISHED |
| Object | Ireland |
—
|
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: Ireland | Statement: [Triple Crown 2004, homeNationWinner, Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeNationWinner Context triple: [Triple Crown 2004, homeNationWinner, Ireland]
-
A.
hostNationWinner
Indicates that the nation hosting an event or competition is also the winner of that event.
-
B.
homeStadiumOfWinner
Indicates that a stadium serves as the home venue for the team or competitor that won a particular event or competition.
-
C.
homeNation
Indicates that one entity is the country or nation that serves as the primary home or origin for another entity.
-
D.
winnerAbbreviation
Indicates the abbreviated form or short code used to represent the winner in a given context or event.
-
E.
hostNationPlayerWon
Indicates that a player representing the host nation won the relevant match, event, or competition.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bb3f23f48190b0b9c2d667e09b52 |
completed | May 3, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.