Triple

T38498004
Position Surface form Disambiguated ID Type / Status
Subject Sai Noi District E919746 entity
Predicate countryCapitalRegionAssociation P204691 FINISHED
Object Greater Bangkok E297261 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: Greater Bangkok | Statement: [Sai Noi District, countryCapitalRegionAssociation, Greater Bangkok]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryCapitalRegionAssociation
Context triple: [Sai Noi District, countryCapitalRegionAssociation, Greater Bangkok]
  • A. countryCapitalRegion
    Indicates that a specified region is the capital region (administrative capital area) of a given country.
  • B. countryCapitalRegionFor
    Indicates that a specified region serves as the capital area or administrative capital region for a given country.
  • C. countryCapitalOfRegion
    Indicates that a country serves as the capital or primary governing state for a specified region.
  • D. countryCapitalOfWiderRegion
    Indicates that a country serves as the capital or primary seat of governance for a broader geographic or political region.
  • E. majorCountryCapitalRegion
    Indicates that a region serves as the capital area or primary administrative region of a major country.
  • F. None of above. chosen

Provenance (5 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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea825b2c8190a794e5184fd29f7f completed June 29, 2026, 3:46 a.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c84ecbc81908232e5215355f43b completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:31 p.m.