Triple

T7467461
Position Surface form Disambiguated ID Type / Status
Subject Jorhat Town railway station E176408 entity
Predicate stationCode P1289 FINISHED
Object JTTN
JTTN is the station code for Jorhat Town railway station, a rail transport hub serving the city of Jorhat in Assam, India.
 E667221 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: JTTN | Statement: [Jorhat Town railway station, stationCode, JTTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JTTN
Context triple: [Jorhat Town railway station, stationCode, JTTN]
  • 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. 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.
  • D. JT
    JT is a 1977 studio album by American singer-songwriter James Taylor that marked his commercial resurgence with hits like "Handy Man" and "Your Smiling Face."
  • E. JTS
    JTS is a leading academic and spiritual center of Conservative Judaism, known for training rabbis, cantors, and scholars and for its influential research in Jewish studies.
  • 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: JTTN
Triple: [Jorhat Town railway station, stationCode, JTTN]
Generated description
JTTN is the station code for Jorhat Town railway station, a rail transport hub serving the city of Jorhat in Assam, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JTTN
Target entity description: JTTN is the station code for Jorhat Town railway station, a rail transport hub serving the city of Jorhat in Assam, India.
  • 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. 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.
  • D. JT
    JT is a 1977 studio album by American singer-songwriter James Taylor that marked his commercial resurgence with hits like "Handy Man" and "Your Smiling Face."
  • E. JTS
    JTS is a leading academic and spiritual center of Conservative Judaism, known for training rabbis, cantors, and scholars and for its influential research in Jewish studies.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f589cc81909f25268838c7c964 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83475392c8190a51d24e1530c0c83 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835ce5bbc8190b968535c16cfc660 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c836a80eb081908b9937944fe18661 completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 3:40 p.m.