Triple
T1459880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cal–Stanford Big Game |
E31485
|
entity |
| Predicate | earlyGamesLocation |
P12966
|
FINISHED |
| Object | neutral sites in the San Francisco Bay Area |
—
|
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: neutral sites in the San Francisco Bay Area | Statement: [Cal–Stanford Big Game, earlyGamesLocation, neutral sites in the San Francisco Bay Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyGamesLocation Context triple: [Cal–Stanford Big Game, earlyGamesLocation, neutral sites in the San Francisco Bay Area]
-
A.
game1Location
Indicates the physical or virtual place where the first game is held or takes place.
-
B.
gameLocation
Indicates the place or venue where a game or match takes place.
-
C.
typicalGameLocation
chosen
Indicates the usual or characteristic place where a game is played or takes place.
-
D.
game4Location
Indicates the place or venue where the fourth game in a series or sequence takes place.
-
E.
game2Location
Indicates that a game takes place at, or is associated with, a specific location.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.