Triple

T9553847
Position Surface form Disambiguated ID Type / Status
Subject South Coast of Peru E230490 entity
Predicate hasPort P35 FINISHED
Object Pisco E284238 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: Pisco | Statement: [South Coast of Peru, hasPort, Pisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisco
Context triple: [South Coast of Peru, hasPort, Pisco]
  • A. Pisco chosen
    Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
  • B. Pisco Elqui
    Pisco Elqui is a small village in Chile’s Elqui Valley, known for its clear skies, Andean scenery, and production of the traditional grape spirit pisco.
  • C. Angostura
    Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
  • D. Angostura
    Angostura is the former name of Ciudad Bolívar, a historic city on the Orinoco River in southeastern Venezuela known for its colonial architecture and role in the Venezuelan War of Independence.
  • E. Sherry
    Sherry is a feminine given name commonly used in English-speaking countries, often associated with names like Cheryl or derived from the fortified wine sherry.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99217de48190b528e14fd02ee987 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1613b16dc8190b00a45596ccd7fbc completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:02 p.m.