Triple

T6194689
Position Surface form Disambiguated ID Type / Status
Subject Cipolletti E138479 entity
Predicate locatedWestOf P4239 FINISHED
Object General Roca E106860 NE 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: General Roca | Statement: [Cipolletti, locatedWestOf, General Roca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Roca
Context triple: [Cipolletti, locatedWestOf, General Roca]
  • A. General Roca chosen
    General Roca is a city in the Alto Valle region of Río Negro Province in northern Patagonia, Argentina, known for its fruit production and agricultural economy.
  • B. Gratteri
    Gratteri is a small historic hill town in the Madonie mountain range of northern Sicily, Italy, known for its medieval architecture and scenic natural surroundings.
  • C. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • D. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • E. Coronel
    Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d8e4b308190b855cb04c9cfefeb completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:19 p.m.