Triple

T9125579
Position Surface form Disambiguated ID Type / Status
Subject Yangon City Hall E218959 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: [Yangon City Hall, locatedIn, Downtown Yangon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Yangon
Context triple: [Yangon City Hall, locatedIn, Downtown Yangon]
  • A. 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.
  • B. UM2 Yangon
    UM2 Yangon is a major public medical university in Yangon, Myanmar, specializing in training physicians and conducting medical research.
  • C. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • D. Mandalay Hill
    Mandalay Hill is a prominent pilgrimage site and scenic hill in Mandalay, Myanmar, famed for its numerous pagodas and panoramic views over the city and the Irrawaddy River.
  • E. Yangon Central Railway Station
    Yangon Central Railway Station is the main railway hub and one of the most prominent colonial-era architectural landmarks 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030988a888190b5a1e4fd6bd7fcee completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.