Triple

T16110672
Position Surface form Disambiguated ID Type / Status
Subject Maghull North railway station E390863 entity
Predicate stationCode P1289 FINISHED
Object MNS
MNS is the three-letter National Rail station code assigned to Maghull North railway station in Merseyside, England.
 E1194911 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: MNS | Statement: [Maghull North railway station, stationCode, MNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MNS
Context triple: [Maghull North railway station, stationCode, MNS]
  • A. MNP
    MNP was a Turkish Islamist political party formally known as the National Order Party.
  • B. MNP
    MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
  • C. MNO
    MNO is the ICAO airline designator assigned to Mango Airlines, a South African low-cost carrier.
  • D. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • E. MNZ
    MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
  • 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: MNS
Triple: [Maghull North railway station, stationCode, MNS]
Generated description
MNS is the three-letter National Rail station code assigned to Maghull North railway station in Merseyside, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MNS
Target entity description: MNS is the three-letter National Rail station code assigned to Maghull North railway station in Merseyside, England.
  • A. MNP
    MNP was a Turkish Islamist political party formally known as the National Order Party.
  • B. MNP
    MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
  • C. MNO
    MNO is the ICAO airline designator assigned to Mango Airlines, a South African low-cost carrier.
  • D. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • E. MNZ
    MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016718ec8190a6c8284c7f612ea8 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba674788190a589104cf90f28d5 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed6638788190a94b87c849dcfbc7 completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffee1cb2f88190b489160245a9828a completed May 10, 2026, 2:31 a.m.
Created at: April 10, 2026, 5 a.m.