Triple

T15378489
Position Surface form Disambiguated ID Type / Status
Subject Manzanillo International Airport E367735 entity
Predicate serves P98 FINISHED
Object Manzanillo, Colima E181815 NE FINISHED

How this triple was built (2 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: Manzanillo, Colima | Statement: [Manzanillo International Airport, serves, Manzanillo, Colima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanillo, Colima
Context triple: [Manzanillo International Airport, serves, Manzanillo, Colima]
  • A. Manzanillo chosen
    Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
  • B. Manzanillo
    Manzanillo is a coastal city in southeastern Cuba known as an important port and commercial center on the Gulf of Guacanayabo.
  • C. Mazatlán Villa de Flores
    Mazatlán Villa de Flores is a municipality and town in the state of Oaxaca, Mexico, known for its indigenous Mazatec-speaking population and mountainous rural setting.
  • D. Minatitlán
    Minatitlán is an industrial city in the Mexican state of Veracruz, known for its major oil refinery and strategic location in the petroleum industry.
  • E. Minatitlán
    Minatitlán is a small inland municipality in the Mexican state of Colima, known for its rural character and agricultural activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b56dd1c81909a3933330e85fe0e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.