Triple
T25034670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Stand |
E626943
|
entity |
| Predicate | locatedInStadiumOf |
P169205
|
FINISHED |
| Object | Celtic Football Club |
—
|
NE NERFINISHED |
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: Celtic Football Club | Statement: [North Stand, locatedInStadiumOf, Celtic Football Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInStadiumOf Context triple: [North Stand, locatedInStadiumOf, Celtic Football Club]
-
A.
locatedInStadium
Indicates that an entity is situated within or at the premises of a specific stadium.
-
B.
playedAtStadium
Indicates that an event or game took place at, or was hosted in, a specific stadium.
-
C.
stadiumUsedFor
Indicates that a particular stadium is used for a specific activity, event, or purpose.
-
D.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
E.
containsStadium
Indicates that a location or area includes a stadium within its boundaries or premises.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 18, 2026, 6:08 a.m.