Triple
T17243226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Heighway |
E418553
|
entity |
| Predicate | numberOfLeagueAppearancesForClub |
P80543
|
FINISHED |
| Object | Liverpool F.C. 300+ league games |
—
|
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: Liverpool F.C. 300+ league games | Statement: [Steve Heighway, numberOfLeagueAppearancesForClub, Liverpool F.C. 300+ league games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLeagueAppearancesForClub Context triple: [Steve Heighway, numberOfLeagueAppearancesForClub, Liverpool F.C. 300+ league games]
-
A.
leagueAppearances
chosen
Indicates the number of times an entity has participated in official league matches or competitions.
-
B.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
-
C.
sportNumberOfAppearances
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
D.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
E.
minimumPlateAppearancesStandard
Indicates the minimum number of plate appearances a player must have to qualify for a particular statistical standard or leaderboard.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.