Triple
T14462149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydney Rugby Football Club |
E358607
|
entity |
| Predicate | hasKitType |
P22553
|
FINISHED |
| Object | club rugby union kit |
—
|
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: club rugby union kit | Statement: [Lydney Rugby Football Club, hasKitType, club rugby union kit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKitType Context triple: [Lydney Rugby Football Club, hasKitType, club rugby union kit]
-
A.
kitType
chosen
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
hasCapType
Indicates that an entity possesses or is characterized by a specific type of cap or cap-like feature.
-
C.
hasPackageType
Indicates that an entity is associated with or classified under a particular type or category of package.
-
D.
hasKernelType
Indicates that an entity possesses or is associated with a specific type or classification of kernel.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.