Triple

T14824672
Position Surface form Disambiguated ID Type / Status
Subject Milton railway station E348539 entity
Predicate hasStationCode P1289 FINISHED
Object MLT
MLT is the station code for Milton railway station, a passenger rail stop serving the Milton area.
 E1122968 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: MLT | Statement: [Milton railway station, hasStationCode, MLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLT
Context triple: [Milton railway station, hasStationCode, MLT]
  • A. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • B. MLTA
    MLTA is the abbreviation for Mountain Line Transit Authority, a public transportation agency that operates bus services.
  • C. YMLT
    YMLT is the ICAO airport code for Launceston Airport, a regional airport serving Launceston in Tasmania, Australia.
  • D. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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: MLT
Triple: [Milton railway station, hasStationCode, MLT]
Generated description
MLT is the station code for Milton railway station, a passenger rail stop serving the Milton area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLT
Target entity description: MLT is the station code for Milton railway station, a passenger rail stop serving the Milton area.
  • A. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • B. MLTA
    MLTA is the abbreviation for Mountain Line Transit Authority, a public transportation agency that operates bus services.
  • C. YMLT
    YMLT is the ICAO airport code for Launceston Airport, a regional airport serving Launceston in Tasmania, Australia.
  • D. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.