Triple

T22197089
Position Surface form Disambiguated ID Type / Status
Subject Caribbean coast of Costa Rica E548576 entity
Predicate hasTown P847 FINISHED
Object Manzanillo NE NERFINISHED

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: [Caribbean coast of Costa Rica, hasTown, Manzanillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanillo
Context triple: [Caribbean coast of Costa Rica, hasTown, Manzanillo]
  • A. Manzanillo
    Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
  • B. Manzanillo chosen
    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 a small inland municipality in the Mexican state of Colima, known for its rural character and agricultural activities.
  • 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. Puerto Juárez
    Puerto Juárez is a coastal locality and ferry port near Cancún in Quintana Roo, Mexico, serving as a gateway to nearby islands such as Isla Mujeres.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.