Triple

T36073655
Position Surface form Disambiguated ID Type / Status
Subject Nu Jiang E1043433 entity
Predicate knownAsInMyanmar P77312 FINISHED
Object Thanlwin NE NERFINISHED

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: Thanlwin | Statement: [Nu Jiang, knownAsInMyanmar, Thanlwin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: knownAsInMyanmar
Context triple: [Nu Jiang, knownAsInMyanmar, Thanlwin]
  • A. hasNameInBurmese chosen
    Indicates that an entity is associated with a specific name expressed in the Burmese language.
  • B. knownAsInThai
    Indicates that an entity is referred to by a specific name or term in the Thai language.
  • C. hasMeaningInBurmese
    Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning when interpreted in the Burmese language.
  • D. nameInTaiAhom
    Indicates that an entity’s name is given in the Tai Ahom language or script.
  • E. Tokhu Emong
    Indicates a relationship or action associated with the Tokhu Emong festival, such as participating in, celebrating, or performing activities related to this event.
  • F. None of above.

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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2c771108190adeec151daad5dab completed May 3, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.