Triple
T4862104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Bucket |
E108684
|
entity |
| Predicate | geographicRivalryType |
P39611
|
FINISHED |
| Object | intra-city rivalry |
—
|
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: intra-city rivalry | Statement: [Bayou Bucket, geographicRivalryType, intra-city rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicRivalryType Context triple: [Bayou Bucket, geographicRivalryType, intra-city rivalry]
-
A.
geographicRivalry
chosen
Indicates a competitive or adversarial relationship between entities that arises from their geographic proximity, territorial interests, or spatial influence.
-
B.
countryContestedBy
Indicates that control, ownership, or sovereignty over a country is disputed by multiple parties or entities.
-
C.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
D.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
E.
geopoliticalOrigin
Indicates the geopolitical entity (such as a country, region, or state) from which something or someone originates or is associated.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5f62b48190b367ed1b850cfbcb |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.