Triple

T20781734
Position Surface form Disambiguated ID Type / Status
Subject Tundla Junction E511497 entity
Predicate hasStationCode P1289 FINISHED
Object TDL
TDL is the Indian Railways station code for Tundla Junction, a major railway junction in Uttar Pradesh, India.
 E1450176 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: TDL | Statement: [Tundla Junction, hasStationCode, TDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDL
Context triple: [Tundla Junction, hasStationCode, TDL]
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. TLDM
    TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • C. DTTL
    DTTL is the legal entity that coordinates and oversees the global network of independent professional services firms operating under the Deloitte brand.
  • D. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • E. TD
    TD is the post-nominal abbreviation used in Ireland to denote a Teachta Dála, a member of the lower house of the Irish parliament (Dáil Éireann).
  • 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: TDL
Triple: [Tundla Junction, hasStationCode, TDL]
Generated description
TDL is the Indian Railways station code for Tundla Junction, a major railway junction in Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDL
Target entity description: TDL is the Indian Railways station code for Tundla Junction, a major railway junction in Uttar Pradesh, India.
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. TLDM
    TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • C. DTTL
    DTTL is the legal entity that coordinates and oversees the global network of independent professional services firms operating under the Deloitte brand.
  • D. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • E. TD
    TD is the post-nominal abbreviation used in Ireland to denote a Teachta Dála, a member of the lower house of the Irish parliament (Dáil Éireann).
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c287b5288190823766fe59402d48 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef9985a08190965fb2d139b3e1f7 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f36a492481908518eba744452df0 completed May 16, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a08f43e36588190a556a19b9dbb738b completed May 16, 2026, 10:48 p.m.
Created at: April 16, 2026, 12:38 p.m.