Triple

T17257540
Position Surface form Disambiguated ID Type / Status
Subject Mellunmäki station E418920 entity
Predicate hasCode P9567 FINISHED
Object MEL
MEL is the station code for Mellunmäki metro station in Helsinki’s public transportation system.
 E1259454 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: MEL | Statement: [Mellunmäki station, hasCode, MEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MEL
Context triple: [Mellunmäki station, hasCode, MEL]
  • A. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • B. MEL
    MEL is the commonly used acronym for the Métropole Européenne de Lille, the intercommunal metropolitan authority centered on the city of Lille in northern France.
  • C. Mello
    Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
  • D. Mels
    Mels is a childhood friend of Amy Pond in Doctor Who who is later revealed to be River Song, the daughter of Amy and Rory.
  • E. Mels
    Mels is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its Alpine landscape and proximity to the Pizol ski and hiking area.
  • 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: MEL
Triple: [Mellunmäki station, hasCode, MEL]
Generated description
MEL is the station code for Mellunmäki metro station in Helsinki’s public transportation system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MEL
Target entity description: MEL is the station code for Mellunmäki metro station in Helsinki’s public transportation system.
  • A. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • B. MEL
    MEL is the commonly used acronym for the Métropole Européenne de Lille, the intercommunal metropolitan authority centered on the city of Lille in northern France.
  • C. Mello
    Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
  • D. Mels
    Mels is a childhood friend of Amy Pond in Doctor Who who is later revealed to be River Song, the daughter of Amy and Rory.
  • E. Mels
    Mels is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its Alpine landscape and proximity to the Pizol ski and hiking area.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6dde4881908e7fc01fd5364616 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017521c90c819099cea67e4084aa67 completed May 11, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a01760409ac8190ac7714e31e686d9a completed May 11, 2026, 6:24 a.m.
Created at: April 10, 2026, 5:39 a.m.