Triple

T23130209
Position Surface form Disambiguated ID Type / Status
Subject Shama E577145 entity
Predicate administrativeDistrict P2709 FINISHED
Object Shama District 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: Shama District | Statement: [Shama, administrativeDistrict, Shama District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shama District
Context triple: [Shama, administrativeDistrict, Shama District]
  • A. Shama District chosen
    Shama District is an administrative district in Ghana located along the coast of the country's Western Region.
  • B. Abau District
    Abau District is an administrative district in Papua New Guinea’s Central Province, encompassing rural coastal and inland communities southeast of the capital Port Moresby.
  • C. Cililin District
    Cililin District is an administrative district in West Java, Indonesia, known for encompassing the town of Cililin as its central hub.
  • D. Nawa District
    Nawa District is an administrative district in Ghazni Province, Afghanistan, known for its rural communities and location in the southeastern part of the country.
  • E. Sangin District
    Sangin District is a rural administrative district in northern Helmand Province, Afghanistan, known for its strategic location and intense military activity during the Afghan conflict.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8671f48190887e57d5723e49c1 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.