Triple

T19927236
Position Surface form Disambiguated ID Type / Status
Subject Didube E478956 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Didube 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: Didube District | Statement: [Didube, locatedInAdministrativeTerritory, Didube District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didube District
Context triple: [Didube, locatedInAdministrativeTerritory, Didube District]
  • A. Didube District chosen
    Didube District is an administrative district of Tbilisi, Georgia, known for its transport hubs, markets, and the historic Didube Pantheon cemetery.
  • B. Sironko District
    Sironko District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • C. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • D. Buvuma District
    Buvuma District is an administrative district in Uganda that encompasses Buvuma Island and surrounding islands in Lake Victoria.
  • E. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.