Triple

T13480887
Position Surface form Disambiguated ID Type / Status
Subject Gigiri, Nairobi E318367 entity
Predicate hasNearbyArea P4647 FINISHED
Object Runda E406524 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: Runda | Statement: [Gigiri, Nairobi, hasNearbyArea, Runda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runda
Context triple: [Gigiri, Nairobi, hasNearbyArea, Runda]
  • A. Runda chosen
    Runda is an affluent residential suburb in Nairobi, Kenya, known for its large gated homes, embassies, and proximity to natural areas like Karura Forest.
  • B. Rola
    Rola is the wartime nickname of Michał Rola-Żymierski, a Polish military leader and later communist-era Marshal of Poland.
  • C. Osiek
    Osiek is a small town in south-central Poland located within the administrative district of Staszów County in the Świętokrzyskie Voivodeship.
  • D. Ujazd
    Ujazd is a small historic town in southwestern Poland known for its medieval origins and traditional Silesian character.
  • E. Tricity
    Tricity is the urban conglomeration in northern India comprising Chandigarh and its adjoining cities of Mohali and Panchkula.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.