Triple

T18836477
Position Surface form Disambiguated ID Type / Status
Subject Mandsaur railway station E460677 entity
Predicate stationCode P1289 FINISHED
Object MDS
MDS is the Indian Railways station code for Mandsaur railway station in Madhya Pradesh, India.
 E1345522 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: MDS | Statement: [Mandsaur railway station, stationCode, MDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDS
Context triple: [Mandsaur railway station, stationCode, MDS]
  • A. MDS
    MDS is the commonly used abbreviation for the College of Medical and Dental Sciences, a higher education institution focused on training healthcare professionals and conducting medical research.
  • B. MDS
    MDS is a music producer known for collaborating with the artist Last Last.
  • C. CML
    CML is the Institute of Environmental Sciences at Leiden University, a research institute focused on environmental sustainability and related scientific studies.
  • D. CLL
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • E. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • 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: MDS
Triple: [Mandsaur railway station, stationCode, MDS]
Generated description
MDS is the Indian Railways station code for Mandsaur railway station in Madhya Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDS
Target entity description: MDS is the Indian Railways station code for Mandsaur railway station in Madhya Pradesh, India.
  • A. MDS
    MDS is the commonly used abbreviation for the College of Medical and Dental Sciences, a higher education institution focused on training healthcare professionals and conducting medical research.
  • B. MDS
    MDS is a music producer known for collaborating with the artist Last Last.
  • C. CML
    CML is the Institute of Environmental Sciences at Leiden University, a research institute focused on environmental sustainability and related scientific studies.
  • D. CLL
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • E. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05676b320481909bea3533d2c7fc27 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a0568910c20819093ab2c08b79698cf completed May 14, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_6a056959a154819095fec2ee55e4734e completed May 14, 2026, 6:19 a.m.
Created at: April 10, 2026, 11:56 a.m.