Triple
T13854140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 FA Cup Final |
E333018
|
entity |
| Predicate | SouthamptonFAcupTitlesAfterMatch |
P13101
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1976 FA Cup Final, SouthamptonFAcupTitlesAfterMatch, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthamptonFAcupTitlesAfterMatch Context triple: [1976 FA Cup Final, SouthamptonFAcupTitlesAfterMatch, 1]
-
A.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
B.
FA CupFinalVenue
Indicates the venue where a specific FA Cup final match is held.
-
C.
FA CupRoundsWon
Indicates the number of rounds a team has successfully progressed through (won) in the FA Cup competition.
-
D.
FA CupWinnerWith
Indicates a relationship where a team is identified as having won the FA Cup together with (i.e., in association with) a particular season, year, or related contextual attribute.
-
E.
FACupTitles
chosen
Indicates the number of FA Cup titles that an entity (typically a football club) has won.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.