Triple
T8392091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Bolton Stadium |
E197965
|
entity |
| Predicate | safetyCertificate |
P81971
|
FINISHED |
| Object | all-seater capacity 28723 |
—
|
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: all-seater capacity 28723 | Statement: [University of Bolton Stadium, safetyCertificate, all-seater capacity 28723]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyCertificate Context triple: [University of Bolton Stadium, safetyCertificate, all-seater capacity 28723]
-
A.
hasSafetyCertificate
Indicates that an entity possesses or has been granted a valid safety certificate.
-
B.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
C.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
D.
certificate
Indicates that an entity has been formally recognized or authorized through an official certificate associated with another entity or qualification.
-
E.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810e16b081908e2c25bfb9d590ed |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:03 p.m.