Triple

T21830027
Position Surface form Disambiguated ID Type / Status
Subject Masally District E538965 entity
Predicate governingBody P46 FINISHED
Object Masally District Executive Power NE NERFINISHED

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: Masally District Executive Power | Statement: [Masally District, governingBody, Masally District Executive Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masally District Executive Power
Context triple: [Masally District, governingBody, Masally District Executive Power]
  • A. Masally District chosen
    Masally District is an administrative region in southern Azerbaijan known for its subtropical climate, agriculture, and location near the Caspian Sea.
  • B. Gurbansoltan Eje District
    Gurbansoltan Eje District is an administrative district in northern Turkmenistan, located within the Daşoguz Region.
  • C. Marj District
    Marj District is an administrative district in northeastern Libya centered around the town of Marj.
  • D. Masin District
    Masin District is an administrative district located within Huari Province in the Ancash Region of Peru, known for its Andean highland geography and rural communities.
  • E. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0913554508190b81347f01d3903e8 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.