Triple
T36275843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Sporting Group |
E892807
|
entity |
| Predicate | doesNotFitInto |
P81652
|
FINISHED |
| Object | Sporting Group |
—
|
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: Sporting Group | Statement: [Non-Sporting Group, doesNotFitInto, Sporting Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotFitInto Context triple: [Non-Sporting Group, doesNotFitInto, Sporting Group]
-
A.
mayNotFit
chosen
Indicates that one entity is unlikely or not expected to be suitable in size, capacity, or compatibility to be placed into, combined with, or used within another entity or context.
-
B.
doesNotComplyWith
Indicates that one entity fails to meet, follow, or adhere to the rules, standards, or requirements set by another entity or authority.
-
C.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
D.
doesNotMeasure
Indicates that an entity is not used to quantify, assess, or determine the value or extent of another entity or property.
-
E.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.