Triple

T8614803
Position Surface form Disambiguated ID Type / Status
Subject Madurai Junction railway station E204008 entity
Predicate stationCode P1289 FINISHED
Object MDU
MDU is the station code for Madurai Junction, a major railway hub in the city of Madurai, Tamil Nadu, India.
 E745476 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: MDU | Statement: [Madurai Junction railway station, stationCode, MDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDU
Context triple: [Madurai Junction railway station, stationCode, MDU]
  • A. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • D. MDH
    MDH is the commonly used abbreviation for the Faculty of Medicine, Dentistry and Health, an academic division focused on education and research in medical, dental and health sciences.
  • E. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • 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: MDU
Triple: [Madurai Junction railway station, stationCode, MDU]
Generated description
MDU is the station code for Madurai Junction, a major railway hub in the city of Madurai, Tamil Nadu, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDU
Target entity description: MDU is the station code for Madurai Junction, a major railway hub in the city of Madurai, Tamil Nadu, India.
  • A. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • D. MDH
    MDH is the commonly used abbreviation for the Faculty of Medicine, Dentistry and Health, an academic division focused on education and research in medical, dental and health sciences.
  • E. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.