Triple
T13612661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OVO Athletic Centre |
E325231
|
entity |
| Predicate | hasWeightRoom |
P48510
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [OVO Athletic Centre, hasWeightRoom, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeightRoom Context triple: [OVO Athletic Centre, hasWeightRoom, true]
-
A.
hasGym
chosen
Indicates that an entity possesses, contains, or provides access to a gym facility.
-
B.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
C.
weightSupport
Indicates that one entity bears or carries the physical weight of another, providing structural or mechanical support.
-
D.
allowsWeightClasses
Indicates that one entity permits or supports the use of defined weight categories for another entity or within a given context.
-
E.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.