Triple

T17284369
Position Surface form Disambiguated ID Type / Status
Subject Huarmey E419612 entity
Predicate partOf P40 FINISHED
Object Huarmey District E1260545 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: Huarmey District | Statement: [Huarmey, partOf, Huarmey District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huarmey District
Context triple: [Huarmey, partOf, Huarmey District]
  • A. Huarmey Province chosen
    Huarmey Province is an administrative division in the Ancash Region of Peru, known for its coastal location along the Pacific Ocean and its capital city, Huarmey.
  • B. Jufra District
    Jufra District is an administrative region in central Libya known for its desert landscapes and strategic location connecting several other Libyan districts.
  • C. Wadi al Shatii District
    Wadi al Shatii District is an inland administrative region in southwestern Libya, known for its desert landscapes and scattered oasis settlements.
  • D. Thayet District
    Thayet District is an administrative district in central Myanmar, located within the Magway Region.
  • E. Maskanah District
    Maskanah District is an administrative district in northern Syria, located within Aleppo Governorate and centered around the town of Maskanah.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332bd324819080795152293d6d43 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c407fe8819095b16b171f29cf1b completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:40 a.m.