Triple

T2340486
Position Surface form Disambiguated ID Type / Status
Subject Mérida E45013 entity
Predicate UNLOCODE P1800 FINISHED
Object MXMID
MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
 E259165 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: MXMID | Statement: [Mérida, UNLOCODE, MXMID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MXMID
Context triple: [Mérida, UNLOCODE, MXMID]
  • A. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • B. MX
    MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
  • C. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. MIX
    MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • E. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • 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: MXMID
Triple: [Mérida, UNLOCODE, MXMID]
Generated description
MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MXMID
Target entity description: MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
  • A. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • B. MX
    MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
  • C. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. MIX
    MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • E. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.