Triple

T11943512
Position Surface form Disambiguated ID Type / Status
Subject Ica E284236 entity
Predicate locatedIn P40 FINISHED
Object Ica Province E284236 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: Ica Province | Statement: [Ica, locatedIn, Ica Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ica Province
Context triple: [Ica, locatedIn, Ica Province]
  • A. Ica Region
    The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
  • B. Ica chosen
    Ica is a city in southern Peru known for its desert landscape, nearby Huacachina oasis, and production of pisco and wine.
  • C. Yauyos Province
    Yauyos Province is an inland administrative division of Peru known for its high Andean landscapes, traditional Quechua-speaking communities, and part of the Nor Yauyos-Cochas scenic reserve.
  • D. Lima Province
    Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
  • E. Heredia Province
    Heredia Province is one of Costa Rica’s central provinces, known for its colonial architecture, coffee plantations, and role as an educational hub.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9034444488190925a6fa6c856ed08 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471ba7fd88190909596e6e01e8714 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.