Triple

T138808
Position Surface form Disambiguated ID Type / Status
Subject Thai Town E2806 entity
Predicate demographicGroup P1898 FINISHED
Object Thai immigrants 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: Thai immigrants | Statement: [Thai Town, demographicGroup, Thai immigrants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demographicGroup
Context triple: [Thai Town, demographicGroup, Thai immigrants]
  • A. demographicCharacteristic
    Indicates that one entity specifies or describes a demographic attribute or feature (such as age, gender, ethnicity, or similar population-related trait) of another entity.
  • B. demographics
    Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
  • C. demographicsLabel
    Indicates the categorical demographic group or segment that an entity is associated with or classified under.
  • D. hasSignificantPopulationGroup chosen
    Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
  • E. demographicsCharacteristic
    Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a800148190be119d1d075869b8 completed Feb. 28, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69a2565426c08190aab68e34a6a2d60e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.