Triple

T10538028
Position Surface form Disambiguated ID Type / Status
Subject Sule Pagoda E248622 entity
Predicate locatedIn P40 FINISHED
Object downtown Yangon E42684 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: downtown Yangon | Statement: [Sule Pagoda, locatedIn, downtown Yangon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Yangon
Context triple: [Sule Pagoda, locatedIn, downtown Yangon]
  • A. UM2 Yangon
    UM2 Yangon is a major public medical university in Yangon, Myanmar, specializing in training physicians and conducting medical research.
  • B. Yangon chosen
    Yangon is Myanmar’s largest city and former capital, known as a major commercial hub featuring a mix of colonial architecture and prominent Buddhist landmarks like the Shwedagon Pagoda.
  • C. Myanmar Plaza
    Myanmar Plaza is a major shopping and commercial complex in Yangon, Myanmar, featuring retail stores, restaurants, offices, and a hotel.
  • D. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • E. Yangon City Development Committee
    The Yangon City Development Committee is the municipal governing body responsible for urban planning, infrastructure, and public services in Myanmar’s largest city, Yangon.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
Created at: April 6, 2026, 12:31 p.m.