Triple

T19036741
Position Surface form Disambiguated ID Type / Status
Subject Katni Junction E465891 entity
Predicate hasStationCode P1289 FINISHED
Object KTE
KTE is the Indian Railways station code for Katni Junction, a major railway junction in Madhya Pradesh, India.
E1354301 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: KTE | Statement: [Katni Junction, hasStationCode, KTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTE
Context triple: [Katni Junction, hasStationCode, KTE]
  • A. KTEB
    KTEB is the ICAO airport code for Teterboro Airport, a major general aviation and business jet airport serving the New York City metropolitan area in New Jersey.
  • B. K.T.S.E.
    K.T.S.E. is Teyana Taylor’s critically acclaimed 2018 R&B album known for its soulful production and emotionally candid songwriting.
  • C. KTA
    KTA is the Polish vehicle registration code assigned to the Tuchów area in the Lesser Poland Voivodeship.
  • D. KDTK
    KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
  • E. Kitee
    Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
  • 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: KTE
Triple: [Katni Junction, hasStationCode, KTE]
Generated description
KTE is the Indian Railways station code for Katni Junction, a major railway junction in Madhya Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KTE
Target entity description: KTE is the Indian Railways station code for Katni Junction, a major railway junction in Madhya Pradesh, India.
  • A. KTEB
    KTEB is the ICAO airport code for Teterboro Airport, a major general aviation and business jet airport serving the New York City metropolitan area in New Jersey.
  • B. K.T.S.E.
    K.T.S.E. is Teyana Taylor’s critically acclaimed 2018 R&B album known for its soulful production and emotionally candid songwriting.
  • C. KTA
    KTA is the Polish vehicle registration code assigned to the Tuchów area in the Lesser Poland Voivodeship.
  • D. KDTK
    KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
  • E. Kitee
    Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d744b39881909334a80a4c15000b completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be60e2848190b479b7cf1893a541 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf3e399c81909dbae7885b86dfb7 completed May 14, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a05bfb47d648190877cfeb7b3b9cf93 completed May 14, 2026, 12:27 p.m.
Created at: April 10, 2026, 12:02 p.m.