Triple
T6878496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Martínez |
E158731
|
entity |
| Predicate | leagueTopScorerInSeason |
P73904
|
FINISHED |
| Object | 2018 Major League Soccer season |
—
|
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: 2018 Major League Soccer season | Statement: [Josef Martínez, leagueTopScorerInSeason, 2018 Major League Soccer season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTopScorerInSeason Context triple: [Josef Martínez, leagueTopScorerInSeason, 2018 Major League Soccer season]
-
A.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
B.
seasonGoalsRecordSeason
Indicates the specific season in which a particular season goals record was achieved or is valid.
-
C.
WorldCupOverallTitleSeason
Indicates the season or year in which an entity secured an overall World Cup title.
-
D.
scored30GoalsInSeason
Indicates that an entity (typically an athlete) achieved a total of 30 goals during a single competitive season.
-
E.
coachOfYearSeason
Indicates that a person was recognized as the coach of the year for a specific sports season.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e498bc81908b2fbe0c6a8b95b7 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.