Triple

T4187918
Position Surface form Disambiguated ID Type / Status
Subject Ancash Region E88357 entity
Predicate contains P35 FINISHED
Object Chimbote E297760 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: Chimbote | Statement: [Ancash Region, contains, Chimbote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chimbote
Context triple: [Ancash Region, contains, Chimbote]
  • A. Chimbote chosen
    Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
  • B. Arequipa
    Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
  • C. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • D. 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.
  • E. Piura
    Piura is a major city in northwestern Peru known for its colonial architecture, warm climate, and role as a commercial and agricultural hub near the Pacific coast.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0325a82c8190849d8a828e2c7b44 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7045bf08190a5d2bab75a2240d4 completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:45 p.m.