Triple

T11558492
Position Surface form Disambiguated ID Type / Status
Subject RSCE E274073 entity
Predicate locatedIn P40 FINISHED
Object Entebbe E44536 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: Entebbe | Statement: [RSCE, locatedIn, Entebbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entebbe
Context triple: [RSCE, locatedIn, Entebbe]
  • A. Entebbe chosen
    Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
  • B. Kampala
    Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
  • C. Nairobi–Entebbe
    Nairobi–Entebbe refers to the international air route connecting Nairobi, Kenya, with Entebbe, Uganda, a key corridor for regional travel in East Africa.
  • D. Kampala District
    Kampala District is the central administrative and urban district of Uganda that encompasses the nation’s capital city, Kampala.
  • E. Lyantonde
    Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e87953088190b72d0afeb9251535 completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.