Triple
T36350623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Crown 2004 |
E895191
|
entity |
| Predicate | numberOfHomeNationsBeaten |
P107109
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Triple Crown 2004, numberOfHomeNationsBeaten, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHomeNationsBeaten Context triple: [Triple Crown 2004, numberOfHomeNationsBeaten, 3]
-
A.
numberOfOpponentsBeaten
chosen
Indicates the count of distinct opponents that an entity has successfully defeated.
-
B.
numberOfWorldCupVictories
Indicates the count of FIFA World Cup tournament titles that an entity (typically a national team or country) has won.
-
C.
WorldCupVictories
Indicates the number of times an entity has won the FIFA World Cup tournament.
-
D.
hasWorldCupVictoriesIn
Indicates that an entity has achieved victories in the FIFA World Cup during the specified years or editions.
-
E.
numberOfWorldCupWins
Indicates how many times an entity has won the FIFA World Cup tournament.
- F. None of above.
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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.