Triple

T4879623
Position Surface form Disambiguated ID Type / Status
Subject Río Negro Province E109291 entity
Predicate contains P35 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: [Río Negro Province, contains, General Roca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Roca
Context triple: [Río Negro Province, contains, 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbf37ac819085bb758bc6406271 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.