Triple
T25628087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selhurst |
E642490
|
entity |
| Predicate | footballCulture |
P29428
|
FINISHED |
| Object | home support for Crystal Palace F.C. |
—
|
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: home support for Crystal Palace F.C. | Statement: [Selhurst, footballCulture, home support for Crystal Palace F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballCulture Context triple: [Selhurst, footballCulture, home support for Crystal Palace F.C.]
-
A.
shareSportsCulture
Indicates that two or more entities participate in or identify with the same sports-related traditions, values, or practices.
-
B.
supporterCulture
chosen
Indicates a relationship where an entity’s culture, norms, or practices are shaped by, aligned with, or strongly influenced by its supporters or fan base.
-
C.
fanOfSport
Indicates that a person supports, follows, or has a strong interest in a particular sport.
-
D.
fanTraditionContext
Indicates the cultural or situational context in which a fan-related tradition occurs or is practiced.
-
E.
countryFootballAssociation
Indicates that a given football association is the official governing body for football in a specified country.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa25423081908a40d12f99afebad |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:16 p.m.