Triple
T905906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Ham United F.C. |
E19546
|
entity |
| Predicate | kitType |
P22553
|
FINISHED |
| Object | claret and blue shirts with white shorts |
—
|
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: claret and blue shirts with white shorts | Statement: [West Ham United F.C., kitType, claret and blue shirts with white shorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kitType Context triple: [West Ham United F.C., kitType, claret and blue shirts with white shorts]
-
A.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
B.
kitSupplier
Indicates that one entity supplies kits or sets of components to another entity.
-
C.
inkType
Indicates the specific kind or category of ink associated with or used by an entity.
-
D.
shellType
Indicates the type or classification of a shell associated with an entity (e.g., its form, structure, or category).
-
E.
plateType
Indicates the specific category or style of plate associated with an item or context.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:39 p.m.