Triple

T245728
Position Surface form Disambiguated ID Type / Status
Subject Thailand E5032 entity
Predicate ISO3166-1Alpha2Code P189 FINISHED
Object TH
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
E31687 NE FINISHED

How this triple was built (4 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: TH | Statement: [Thailand, ISO3166-1Alpha2Code, TH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TH
Context triple: [Thailand, ISO3166-1Alpha2Code, TH]
  • A. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TH
Triple: [Thailand, ISO3166-1Alpha2Code, TH]
Generated description
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TH
Target entity description: TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • A. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d128c0081909908825b302ae635 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d7b01fc8190a5c596b748bbaa53 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36df1839081909c743e1357dd400a completed Feb. 28, 2026, 10:36 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.