Triple

T5304850
Position Surface form Disambiguated ID Type / Status
Subject EuroAirport Basel–Mulhouse–Freiburg E120073 entity
Predicate IATAcode P418 FINISHED
Object MLH
MLH is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
 E510876 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: MLH | Statement: [EuroAirport Basel–Mulhouse–Freiburg, IATAcode, MLH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLH
Context triple: [EuroAirport Basel–Mulhouse–Freiburg, IATAcode, MLH]
  • A. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • B. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • C. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • D. HLA
    HLA is the three-letter IATA airport code for Lanseria International Airport, a major privately owned airport serving the Johannesburg region in South Africa.
  • E. ML3
    ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
  • 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: MLH
Triple: [EuroAirport Basel–Mulhouse–Freiburg, IATAcode, MLH]
Generated description
MLH is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLH
Target entity description: MLH is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
  • A. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • B. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • C. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • D. HLA
    HLA is the three-letter IATA airport code for Lanseria International Airport, a major privately owned airport serving the Johannesburg region in South Africa.
  • E. ML3
    ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851cac9c8190a23d96cf3c2e4847 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f77b048190b8d3b39b900008d8 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1186f1988190893e8d1af8623f6d completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf1226ddd08190a39799fd0db58694 completed March 21, 2026, 9:48 p.m.
Created at: March 20, 2026, 1:53 p.m.