Triple
T15327953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II women's gymnastics |
E366460
|
entity |
| Predicate | usesCodeOfPoints |
P118129
|
FINISHED |
| Object | modified NCAA gymnastics scoring system |
—
|
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: modified NCAA gymnastics scoring system | Statement: [NCAA Division II women's gymnastics, usesCodeOfPoints, modified NCAA gymnastics scoring system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCodeOfPoints Context triple: [NCAA Division II women's gymnastics, usesCodeOfPoints, modified NCAA gymnastics scoring system]
-
A.
usesCodeSpace
Indicates that one entity employs or operates within a particular code space or coding environment provided by another entity.
-
B.
usesCodePoints
Indicates that one entity represents, encodes, or operates using the specific set of Unicode code points defined by another entity.
-
C.
usesLineCode
Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
-
D.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
E.
usesBasePoint
Indicates that one entity performs an operation or defines a structure by referencing or relying on a specific base point.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.