Triple

T4147675
Position Surface form Disambiguated ID Type / Status
Subject Junín Region E89825 entity
Predicate largestCity P235 FINISHED
Object Huancayo E305433 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: Huancayo | Statement: [Junín Region, largestCity, Huancayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancayo
Context triple: [Junín Region, largestCity, Huancayo]
  • A. Huancayo chosen
    Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
  • B. Cajamarca
    Cajamarca is a city in the northern highlands of Peru, historically renowned as the site where Spanish conquistador Francisco Pizarro captured the Inca emperor Atahualpa, marking a pivotal moment in the Spanish conquest of the Inca Empire.
  • C. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • D. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • E. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af026130bc8190ae3b0e9bec5ccad6 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f3136c48190b158142311bfbc6d completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.