Triple

T17067150
Position Surface form Disambiguated ID Type / Status
Subject Muscat road network E414116 entity
Predicate connects P390 FINISHED
Object Ruwi E1248041 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: Ruwi | Statement: [Muscat road network, connects, Ruwi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruwi
Context triple: [Muscat road network, connects, Ruwi]
  • A. Ruwi chosen
    Ruwi is a major commercial and business district in Muscat, Oman, known for its markets, offices, and transport hubs.
  • B. Warihio
    Warihio is an indigenous people and language group native to northwestern Mexico, traditionally inhabiting remote mountainous regions and maintaining distinct cultural and linguistic practices.
  • C. Rukuhia
    Rukuhia is a rural locality in the Waikato region of New Zealand, situated just south of Hamilton and known for its proximity to Hamilton Airport.
  • D. Rigwe
    Rigwe is a Plateau language spoken in central Nigeria, known for its complex noun class system and tonal distinctions.
  • E. Ruwa
    Ruwa is the supreme high god in the traditional religion of the Chagga people of Tanzania, associated with creation and the overarching cosmic order.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbddd708190a6192466b7dfd606 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eda04d08190b450fbfc6ccb9054 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.