Triple
T30956854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neve and Gliz |
E788698
|
entity |
| Predicate | officialMascotsFor |
P100577
|
FINISHED |
| Object | 2006 Winter Olympics |
—
|
NE NERFINISHED |
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: 2006 Winter Olympics | Statement: [Neve and Gliz, officialMascotsFor, 2006 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialMascotsFor Context triple: [Neve and Gliz, officialMascotsFor, 2006 Winter Olympics]
-
A.
hasOfficialMascot
chosen
Indicates that an entity is formally represented or symbolized by a designated mascot.
-
B.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
C.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
D.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
-
E.
mascotCollectiveName
Indicates that a mascot is associated with and represents a particular collective group, organization, or team name.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: April 29, 2026, 8:54 p.m.