Triple
T26652881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichichi |
E669111
|
entity |
| Predicate | clubNumberOfSeasons |
P14050
|
FINISHED |
| Object | multiple seasons with Athletic Bilbao |
—
|
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: multiple seasons with Athletic Bilbao | Statement: [Pichichi, clubNumberOfSeasons, multiple seasons with Athletic Bilbao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberOfSeasons Context triple: [Pichichi, clubNumberOfSeasons, multiple seasons with Athletic Bilbao]
-
A.
numberOfSeasonsWithTeam
chosen
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
B.
mostSeasonsClub
Indicates that a club holds the record for participating in the highest number of seasons within a given competition or league.
-
C.
collegeTeamNumberOfSeasons
Indicates the number of seasons a college sports team has participated in competition.
-
D.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
E.
leagueFoundedSeason
Indicates the season during which a particular league was established or founded.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6167ccb308190a3183b2145bf4ce8 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:33 a.m.