Triple
T36191456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkenhead |
E1046999
|
entity |
| Predicate | TranmereRovers_instanceOf |
P185013
|
FINISHED |
| Object | professional football club |
—
|
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: professional football club | Statement: [Birkenhead, TranmereRovers_instanceOf, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TranmereRovers_instanceOf Context triple: [Birkenhead, TranmereRovers_instanceOf, professional football club]
-
A.
hasFootballTrainingCentre
Indicates that an entity possesses or hosts a facility specifically designated for football training.
-
B.
hasTopLeagueTeam
Indicates that an entity possesses or is associated with a team that competes in the highest-level league of a given sport or competition.
-
C.
ChelseaManager
Indicates that a person holds or has held the position of manager (head coach) of Chelsea Football Club.
-
D.
LiverpoolManager
Indicates that one entity serves as the manager (head coach) of the football club Liverpool.
-
E.
hostsFootballClub
Indicates that one entity serves as the home location or venue where a football club is based or plays its matches.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.