Triple

T7336011
Position Surface form Disambiguated ID Type / Status
Subject Montrose railway station E169128 entity
Predicate stationCode P1289 FINISHED
Object MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
 E657842 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: MTS | Statement: [Montrose railway station, stationCode, MTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTS
Context triple: [Montrose railway station, stationCode, MTS]
  • A. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • B. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • C. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • D. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • E. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • 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: MTS
Triple: [Montrose railway station, stationCode, MTS]
Generated description
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTS
Target entity description: MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • A. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • B. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • C. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • D. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • E. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c51884819098fe00dd3d5e44b2 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7f58ddcf88190bfc15f673083c009 completed March 28, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69c7f615d6d48190933ac515874299b9 completed March 28, 2026, 3:39 p.m.
Created at: March 27, 2026, 3:04 p.m.