Triple

T2048873
Position Surface form Disambiguated ID Type / Status
Subject Midland Main Line E45516 entity
Predicate routeNumber P1864 FINISHED
Object MML
MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
 E228929 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: MML | Statement: [Midland Main Line, routeNumber, MML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MML
Context triple: [Midland Main Line, routeNumber, MML]
  • A. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • B. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • C. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • D. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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: MML
Triple: [Midland Main Line, routeNumber, MML]
Generated description
MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MML
Target entity description: MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • A. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • B. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • C. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • D. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98c70c48190beb98aad56d9daf1 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2007386481908b46c7bc2db8e4dd completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20fbcd30819099499853d7dc2cc4 completed March 9, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae216d450c8190ad2ecfdafa2354c7 completed March 9, 2026, 1:25 a.m.
Created at: March 4, 2026, 7:39 p.m.