Triple

T15902598
Position Surface form Disambiguated ID Type / Status
Subject Nat Ma Taung National Park E385625 entity
Predicate hasHighestPoint P210 FINISHED
Object Nat Ma Taung E1183414 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: Nat Ma Taung | Statement: [Nat Ma Taung National Park, hasHighestPoint, Nat Ma Taung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nat Ma Taung
Context triple: [Nat Ma Taung National Park, hasHighestPoint, Nat Ma Taung]
  • A. Nat Ma Taung chosen
    Nat Ma Taung is a prominent peak in western Myanmar’s Chin Hills, renowned for its rich biodiversity and cultural significance to local Chin communities.
  • B. Yenangyaung
    Yenangyaung is a town in central Myanmar known historically as the site of a major World War II battle between Allied and Japanese forces.
  • C. Maung
    Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
  • D. Maung
    Maung is an Aboriginal Australian language traditionally spoken by the Maung people of the Goulburn Islands in the Northern Territory.
  • E. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563e79608190a1fdfe6265817616 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6cd5a881908716f1dcf7d77004 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.