Triple

T7254740
Position Surface form Disambiguated ID Type / Status
Subject Pavas E157689 entity
Predicate roadNetworkConnectedTo P3374 FINISHED
Object Escazú E628643 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: Escazú | Statement: [Pavas, roadNetworkConnectedTo, Escazú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escazú
Context triple: [Pavas, roadNetworkConnectedTo, Escazú]
  • A. Escazú chosen
    Escazú is an affluent suburban city in Costa Rica known for its upscale residential areas, shopping centers, and proximity to the capital, San José.
  • B. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • C. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • D. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • E. Baceno
    Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9f55b4819081a43e7a01eda154 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b053248190802b11212a8a668f completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.