Triple
T1666013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai SIPG F.C. |
E36012
|
entity |
| Predicate | hasCoachingStaff |
P24181
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shanghai SIPG F.C., hasCoachingStaff, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachingStaff Context triple: [Shanghai SIPG F.C., hasCoachingStaff, yes]
-
A.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
coachingTeam
chosen
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
D.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
E.
workedUnderHeadCoach
Indicates that one person held a role or position under the authority or supervision of another person who was serving as the head coach.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.