Triple

T15411194
Position Surface form Disambiguated ID Type / Status
Subject Los Mochis International Airport E368595 entity
Predicate IATAcode P418 FINISHED
Object LMM
LMM is the IATA airport code for Los Mochis International Airport in Los Mochis, Sinaloa, Mexico.
 E1156065 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: LMM | Statement: [Los Mochis International Airport, IATAcode, LMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMM
Context triple: [Los Mochis International Airport, IATAcode, LMM]
  • A. LM
    LM is the vehicle registration code for the German town of Limburg an der Lahn in the state of Hesse.
  • B. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • C. LM
    LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
  • D. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • E. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • 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: LMM
Triple: [Los Mochis International Airport, IATAcode, LMM]
Generated description
LMM is the IATA airport code for Los Mochis International Airport in Los Mochis, Sinaloa, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMM
Target entity description: LMM is the IATA airport code for Los Mochis International Airport in Los Mochis, Sinaloa, Mexico.
  • A. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • B. LM
    LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
  • C. LM
    LM is the vehicle registration code for the German town of Limburg an der Lahn in the state of Hesse.
  • D. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • E. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1afa99888190bfb60fd88d840d4e completed May 9, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bdb39b481908f0b1df595837bc4 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:20 a.m.