Triple

T493373
Position Surface form Disambiguated ID Type / Status
Subject Bangkok E10237 entity
Predicate shortNameInThai P14158 FINISHED
Object Krung Thep E10237 NE FINISHED

How this triple was built (3 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: Krung Thep | Statement: [Bangkok, shortNameInThai, Krung Thep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krung Thep
Context triple: [Bangkok, shortNameInThai, Krung Thep]
  • A. Bangkok chosen
    Bangkok is the vibrant capital and largest city of Thailand, known for its bustling street life, ornate temples, and role as a major economic and cultural hub in Southeast Asia.
  • B. Chiang Mai
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • C. Pattaya
    Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
  • D. Vientiane
    Vientiane is the capital and largest city of Laos, situated along the Mekong River near the border with Thailand.
  • E. Cathay City
    Cathay City is Cathay Pacific’s purpose-built corporate headquarters complex located near Hong Kong International Airport, housing the airline’s main offices, training facilities, and support operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortNameInThai
Context triple: [Bangkok, shortNameInThai, Krung Thep]
  • A. hasShortTitle
    Indicates that an entity is associated with a brief or abbreviated title.
  • B. nameInSwedish
    Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
  • C. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • D. conferenceShortName
    Indicates the abbreviated or short-form name used to refer to a conference.
  • E. hasNameAbbreviation
    Indicates that an entity is associated with a shortened or abbreviated form of its full name.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fbfa408190aeb3b93996a35c00 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2c33bc81909d0743ca3ef96c00 completed March 1, 2026, 5:53 p.m.
PD Predicate disambiguation batch_69a2edf90ca88190b6a182e5b6733612 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2eebb2c908190960a4d0c014304cd completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.