Triple
T33505077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England boxing scene |
E858088
|
entity |
| Predicate | trainingInfrastructure |
P98788
|
FINISHED |
| Object | local boxing gyms |
—
|
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: local boxing gyms | Statement: [New England boxing scene, trainingInfrastructure, local boxing gyms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingInfrastructure Context triple: [New England boxing scene, trainingInfrastructure, local boxing gyms]
-
A.
parallelInfrastructure
Indicates that two or more infrastructure elements are arranged or operate in parallel to each other, typically serving similar functions simultaneously.
-
B.
usesInfrastructure
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
C.
typicalInfrastructure
chosen
Indicates that something is part of the standard or commonly expected infrastructure associated with a given context or entity.
-
D.
integratesInfrastructure
Indicates that one entity combines or coordinates infrastructure components or systems of another entity into a unified, functioning whole.
-
E.
trainingSupport
Indicates that one entity provides assistance, resources, or facilitation to help another entity conduct or participate in training activities.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:38 a.m.