Triple

T16728267
Position Surface form Disambiguated ID Type / Status
Subject Limuru Road E406519 entity
Predicate passesThrough P225 FINISHED
Object Runda area 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 area | Statement: [Limuru Road, passesThrough, Runda area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runda area
Context triple: [Limuru Road, passesThrough, Runda area]
  • 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. Nowra area
    The Nowra area is a region on the South Coast of New South Wales, Australia, recognized as part of the traditional lands of the Shoalhaven Aboriginal people.
  • C. Chopok area
    The Chopok area is a popular mountain region in Slovakia’s Low Tatras, known for its prominent peak, extensive hiking trails, and major ski resort facilities.
  • D. Vezneciler area
    The Vezneciler area is a historic neighborhood in Istanbul’s Fatih district, known for its central location, Ottoman-era architecture, and proximity to major universities and landmarks.
  • E. Zabadani area
    Zabadani area is a mountainous region and town in southwestern Syria near the Lebanese border, known historically as a summer resort and agricultural hub.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.