Triple
T239490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Game (American football) |
E4895
|
entity |
| Predicate | campusDistanceBetweenRivals |
P9492
|
FINISHED |
| Object | approximately 30 miles |
—
|
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: approximately 30 miles | Statement: [Big Game (American football), campusDistanceBetweenRivals, approximately 30 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusDistanceBetweenRivals Context triple: [Big Game (American football), campusDistanceBetweenRivals, approximately 30 miles]
-
A.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
B.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
C.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
D.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
E.
hasNearbyInstitution
Indicates that one entity is located close to or in the immediate vicinity of an institution.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25dab745c8190829b7b5e915936e8 |
completed | Feb. 28, 2026, 3:14 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.