Triple
T9651870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackpool F.C. |
E233353
|
entity |
| Predicate | FA CupFinalScore |
P89434
|
FINISHED |
| Object | 4–3 |
—
|
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: 4–3 | Statement: [Blackpool F.C., FA CupFinalScore, 4–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FA CupFinalScore Context triple: [Blackpool F.C., FA CupFinalScore, 4–3]
-
A.
FA CupTitle
Indicates that an entity has won the FA Cup title in a given season or competition.
-
B.
leagueCupResult
Indicates the outcome or standing a team or participant achieved in a specific league cup competition.
-
C.
worldCupFinalScore
Indicates the final score outcome of a FIFA World Cup match, typically specifying the number of goals each team scored by the end of the final game.
-
D.
reachedFA CupSemiFinal
Indicates that an entity (typically a football club) advanced to and participated in the semi-final round of the FA Cup competition.
-
E.
FACupTitles
Indicates the number of FA Cup titles that an entity (typically a football club) has won.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:13 p.m.