Triple

T7119623
Position Surface form Disambiguated ID Type / Status
Subject Tianjin Jinmen Tiger F.C. E165913 entity
Predicate hasAbbreviation P43 FINISHED
Object TJTT
TJTT is the abbreviation for Tianjin Jinmen Tiger F.C., a professional Chinese football club based in Tianjin that competes in the Chinese Super League.
E642934 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: TJTT | Statement: [Tianjin Jinmen Tiger F.C., hasAbbreviation, TJTT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJTT
Context triple: [Tianjin Jinmen Tiger F.C., hasAbbreviation, TJTT]
  • A. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • B. RJTT
    RJTT is the ICAO airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s primary airports serving the Tokyo metropolitan area.
  • C. tj
    tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
  • D. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • E. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • 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: TJTT
Triple: [Tianjin Jinmen Tiger F.C., hasAbbreviation, TJTT]
Generated description
TJTT is the abbreviation for Tianjin Jinmen Tiger F.C., a professional Chinese football club based in Tianjin that competes in the Chinese Super League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TJTT
Target entity description: TJTT is the abbreviation for Tianjin Jinmen Tiger F.C., a professional Chinese football club based in Tianjin that competes in the Chinese Super League.
  • A. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • B. RJTT
    RJTT is the ICAO airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s primary airports serving the Tokyo metropolitan area.
  • C. tj
    tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
  • D. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • E. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61b8a288190a165ea25adfaaef5 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cc4683c8190b0788a142e93e088 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d5cd49c8190ba104dec19516633 completed March 28, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69c79dcae54c8190b06e687236373f68 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:43 p.m.