Triple

T13876424
Position Surface form Disambiguated ID Type / Status
Subject Colima E333594 entity
Predicate hasPortCity P2745 FINISHED
Object Manzanillo 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 | Statement: [Colima, hasPortCity, Manzanillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanillo
Context triple: [Colima, hasPortCity, Manzanillo]
  • 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. 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.
  • D. 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.
  • E. Puerto Vallarta
    Puerto Vallarta is a popular Pacific coast resort city in the Mexican state of Jalisco, known for its beaches, nightlife, and vibrant arts and cultural scene.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd27f8f388819096c7c33b90f9ac4c completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:15 p.m.