Triple

T13305109
Position Surface form Disambiguated ID Type / Status
Subject Kayin State E316915 entity
Predicate containsTown P847 FINISHED
Object Hpapun E316918 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: Hpapun | Statement: [Kayin State, containsTown, Hpapun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hpapun
Context triple: [Kayin State, containsTown, Hpapun]
  • A. Hpapun chosen
    Hpapun is a major town in eastern Myanmar known for its location in the mountainous, conflict-affected region of Karen State.
  • B. Hpakant
    Hpakant is a town in northern Myanmar renowned as the center of the country’s lucrative and often controversial jade mining industry.
  • C. Huppaye
    Huppaye is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Ramillies in the province of Walloon Brabant.
  • D. Hypapante
    Hypapante is the Christian feast commemorating the presentation of Jesus Christ in the Temple and his meeting with Simeon and Anna, traditionally celebrated 40 days after Christmas.
  • E. Habay
    Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e3617081909eea9989cf5e7b30 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.