Triple

T13077635
Position Surface form Disambiguated ID Type / Status
Subject Lira E329618 entity
Predicate adminCenterOf P18611 FINISHED
Object Lira District E976900 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: Lira District | Statement: [Lira, adminCenterOf, Lira District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lira District
Context triple: [Lira, adminCenterOf, Lira District]
  • A. Lira District chosen
    Lira District is an administrative district in northern Uganda that serves as a key cultural and economic center for the Lango people.
  • B. Boğazkale District
    Boğazkale District is an administrative district in Çorum Province, Turkey, best known for encompassing the archaeological site of Hattusa, the ancient Hittite capital.
  • C. Güzelyurt District
    Güzelyurt District is an administrative region in the northwestern part of Cyprus, known for its agricultural production, especially citrus orchards, and its de facto control by Northern Cyprus.
  • D. Kagizman District
    Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
  • E. Ürgüp District
    Ürgüp District is an administrative district in Turkey’s Nevşehir Province, known for its Cappadocia landscapes, rock formations, and historic cave dwellings.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:01 p.m.