Triple
T8151017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHEN |
E190331
|
entity |
| Predicate | hasProfessionalFirstTeam |
P15430
|
FINISHED |
| Object | men's senior team |
—
|
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: men's senior team | Statement: [SHEN, hasProfessionalFirstTeam, men's senior team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalFirstTeam Context triple: [SHEN, hasProfessionalFirstTeam, men's senior team]
-
A.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
B.
hasProfessionalPlayers
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
-
C.
professionalDebutTeam
chosen
Indicates the team for which an individual first appeared in a professional-level competition or league.
-
D.
professionalTeam
Indicates that one entity is a professional sports team associated with, representing, or employing the other entity.
-
E.
hasFormerTeam
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4481f19c8190aeec9bf029ad321b |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.