Triple
T7735698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Zelarayán |
E175373
|
entity |
| Predicate | playedForEndYear |
P78420
|
FINISHED |
| Object | Belgrano:2015 |
—
|
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: Belgrano:2015 | Statement: [Lucas Zelarayán, playedForEndYear, Belgrano:2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForEndYear Context triple: [Lucas Zelarayán, playedForEndYear, Belgrano:2015]
-
A.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
teamEndYear
Indicates the year in which an entity’s association with a particular team ended.
-
C.
laterPlayedFor
Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
-
D.
playedCareerStartYear
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
-
E.
playedForTeamEnd
Indicates that an entity’s period of playing for a particular team ended at a specified time or event.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:06 p.m.