Triple
T30415529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Griz |
E773742
|
entity |
| Predicate | usesNicknameFor |
P169192
|
FINISHED |
| Object | all University of Montana women's teams in some sports |
—
|
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 University of Montana women's teams in some sports | Statement: [Lady Griz, usesNicknameFor, all University of Montana women's teams in some sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNicknameFor Context triple: [Lady Griz, usesNicknameFor, all University of Montana women's teams in some sports]
-
A.
usesNicknameIn
Indicates that one entity refers to another entity by a specific nickname within a particular context or setting.
-
B.
usesNicknameOf
Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
-
C.
usesNicknameInFormat
Indicates that one entity refers to another using a nickname that follows a specific pattern or formatting convention.
-
D.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
E.
usedNicknameSystem
Indicates that one entity referred to another entity using a nickname rather than their formal name.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6864986008190a550cf740ff6f511 |
completed | May 2, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:05 p.m.