Triple
T13537741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spurs Women |
E323303
|
entity |
| Predicate | clubCrestFeatures |
P105736
|
FINISHED |
| Object | cockerel standing on a football |
—
|
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: cockerel standing on a football | Statement: [Spurs Women, clubCrestFeatures, cockerel standing on a football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubCrestFeatures Context triple: [Spurs Women, clubCrestFeatures, cockerel standing on a football]
-
A.
clubColoursPattern
Indicates the pattern or design style used in a club’s official colours (e.g., stripes, hoops, solid).
-
B.
primaryClubColorsVisible
Indicates that the primary colors associated with a club are clearly visible or prominently displayed.
-
C.
featuresClubs
Indicates that something includes or presents one or more clubs as part of its composition, content, or offering.
-
D.
competitionLogo
Indicates that one entity serves as the official logo or emblem representing a particular competition.
-
E.
hasCrestBadge
chosen
Indicates that an entity possesses or is associated with a specific crest badge.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.