Triple

T13064652
Position Surface form Disambiguated ID Type / Status
Subject Tulum International Airport E329288 entity
Predicate ICAOcode P419 FINISHED
Object MMTU
MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
 E1019070 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: MMTU | Statement: [Tulum International Airport, ICAOcode, MMTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMTU
Context triple: [Tulum International Airport, ICAOcode, MMTU]
  • A. MMTO
    MMTO is the ICAO airport code for Toluca International Airport, a commercial and cargo airport serving the Toluca and greater Mexico City area in Mexico.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • D. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • E. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • 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: MMTU
Triple: [Tulum International Airport, ICAOcode, MMTU]
Generated description
MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMTU
Target entity description: MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
  • A. MMTO
    MMTO is the ICAO airport code for Toluca International Airport, a commercial and cargo airport serving the Toluca and greater Mexico City area in Mexico.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • D. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • E. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6d039254881909927b58225f194de completed May 3, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6d0d218d4819080273a151a0890d3 completed May 3, 2026, 4:36 a.m.
Created at: April 9, 2026, 8:59 p.m.