Triple
T38365940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Derby |
E892439
|
entity |
| Predicate | basedInSameCityAs |
P108316
|
FINISHED |
| Object | Omiya Ardija |
—
|
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: Omiya Ardija | Statement: [Saitama Derby, basedInSameCityAs, Omiya Ardija]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInSameCityAs Context triple: [Saitama Derby, basedInSameCityAs, Omiya Ardija]
-
A.
isInSameCityAs
chosen
Indicates that two entities are located within the boundaries of the same city.
-
B.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
C.
basedInCityState
Indicates that an entity’s primary location or headquarters is situated in a specific city within a specific state.
-
D.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
E.
livesOnSameStreetAs
Indicates that two entities reside on the same street or roadway address.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:31 p.m.