Triple

T180260
Position Surface form Disambiguated ID Type / Status
Subject Chinese Taipei E3857 entity
Predicate countryCode P208 FINISHED
Object TPE
TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
E22639 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: TPE | Statement: [Chinese Taipei, countryCode, TPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TPE
Context triple: [Chinese Taipei, countryCode, TPE]
  • A. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • B. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • C. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • 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: TPE
Triple: [Chinese Taipei, countryCode, TPE]
Generated description
TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TPE
Target entity description: TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • A. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • B. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • C. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2f0b71080819086362f6036b41162 completed Feb. 28, 2026, 1:42 p.m.
NEDg Description generation batch_69a2f12e5f548190a0fb3ca1cb059be1 completed Feb. 28, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_69a2f3967dac81908076c3be2056f45f completed Feb. 28, 2026, 1:54 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.