Triple

T26525925
Position Surface form Disambiguated ID Type / Status
Subject Hlegu Township E670687 entity
Predicate locatedInEthnicContext P123087 FINISHED
Object Bamar majority area LITERAL 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: Bamar majority area | Statement: [Hlegu Township, locatedInEthnicContext, Bamar majority area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInEthnicContext
Context triple: [Hlegu Township, locatedInEthnicContext, Bamar majority area]
  • A. depictsEthnicContext
    Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
  • B. hasEthnolinguisticContext
    Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
  • C. hasEthnicScope chosen
    Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
  • D. holderEthnicity
    Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
  • E. hasEthnographicContext
    Indicates that something is associated with, or situated within, a particular ethnographic setting, culture, or sociocultural context.
  • 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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69fd864235b481908738dbb69556bc62 completed May 8, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69fd8373b6bc819091c554f29ee17fec completed May 8, 2026, 6:32 a.m.
Created at: April 27, 2026, 1:31 a.m.