Triple
T34678724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico national football team |
E890562
|
entity |
| Predicate | awayKitStyle |
P159881
|
FINISHED |
| Object | white shirts, blue shorts, white socks |
—
|
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: white shirts, blue shorts, white socks | Statement: [Puerto Rico national football team, awayKitStyle, white shirts, blue shorts, white socks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awayKitStyle Context triple: [Puerto Rico national football team, awayKitStyle, white shirts, blue shorts, white socks]
-
A.
hasAwayKitType
chosen
Indicates that an entity is associated with a specific type or style of away kit (e.g., for a sports team).
-
B.
hasAwayKitPattern
Indicates that an entity is associated with a specific design or pattern used on its away kit or secondary uniform.
-
C.
wornStyle
Indicates the manner or fashion in which an item is worn or styled on an entity.
-
D.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
E.
bodyStyleCategory
Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72325f5b081909fe6821ea2fef16b |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.