Triple

T15081392
Position Surface form Disambiguated ID Type / Status
Subject Hermosillo International Airport E360152 entity
Predicate hasICAOcode P419 FINISHED
Object MMHO
MMHO is the ICAO airport code for General Ignacio Pesqueira García International Airport serving Hermosillo, Sonora, Mexico.
E1136440 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: MMHO | Statement: [Hermosillo International Airport, hasICAOcode, MMHO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMHO
Context triple: [Hermosillo International Airport, hasICAOcode, MMHO]
  • A. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • B. MOAH
    MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • 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: MMHO
Triple: [Hermosillo International Airport, hasICAOcode, MMHO]
Generated description
MMHO is the ICAO airport code for General Ignacio Pesqueira García International Airport serving Hermosillo, Sonora, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MMHO
Target entity description: MMHO is the ICAO airport code for General Ignacio Pesqueira García International Airport serving Hermosillo, Sonora, Mexico.
  • A. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • B. MOAH
    MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69dff80008c88190840f94222f867478 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf8e1b508190b0b5ceb64d44fad6 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feb038065c8190b60266644db64092 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 3:03 a.m.