Triple
T36951140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | KansasScore |
P186773
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [2008 Orange Bowl, KansasScore, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KansasScore Context triple: [2008 Orange Bowl, KansasScore, 24]
-
A.
NebraskaScore
Indicates that a score or point value is assigned to, achieved by, or associated with Nebraska in a particular context or event.
-
B.
OklahomaScore
Indicates that a score or number of points is associated with Oklahoma in a particular context or event.
-
C.
OregonScore
Indicates a scoring event or point total achieved by an entity in the context of Oregon (such as a game, test, or evaluation associated with Oregon).
-
D.
indianaScore
Indicates that a scoring event or point total is attributed to Indiana in a given context or competition.
-
E.
KansasRegion
Indicates that an entity is located within, associated with, or pertains to the geographic region of Kansas.
- 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_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.