Triple
T36951141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | VirginiaTechScore |
P187625
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [2008 Orange Bowl, VirginiaTechScore, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VirginiaTechScore Context triple: [2008 Orange Bowl, VirginiaTechScore, 21]
-
A.
universityTeamNumber
Indicates the numerical identifier assigned to a specific university team within a given context or competition.
-
B.
FloridaUniversity
Indicates that an entity is a university located in, associated with, or part of the higher-education system of the state of Florida.
-
C.
GreeneRank
Indicates a ranking or ordered position assigned according to Greene’s specific criteria or system.
-
D.
NCOrank
Indicates a hierarchical ranking relationship between entities within the context of a non-commissioned officer (NCO) rank structure.
-
E.
Indiana StateScore
Indicates that there is a score or scoring value associated with the state of Indiana.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 3, 2026, 4:13 p.m.