Triple
T14747071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Super League Grand Final |
E346499
|
entity |
| Predicate | Brisbane Broncos score |
P26207
|
FINISHED |
| Object | 26 |
—
|
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: 26 | Statement: [1997 Super League Grand Final, Brisbane Broncos score, 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Brisbane Broncos score Context triple: [1997 Super League Grand Final, Brisbane Broncos score, 26]
-
A.
winningTeamScore
chosen
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
B.
AFLChampionshipGameScore
Indicates the final score outcome of a specific AFL championship game between competing teams.
-
C.
inauguralNRLMatchOpponent
Indicates the opposing team that a given team faced in its first-ever National Rugby League (NRL) match.
-
D.
AustraliaScore
Indicates that a scoring event or point total is attributed to Australia in a given context.
-
E.
touchdownPoints
Indicates the number of points awarded to a team for successfully scoring a touchdown in a game.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.