Triple

T2631967
Position Surface form Disambiguated ID Type / Status
Subject Baquedano E59654 entity
Predicate servesDistrict P82 FINISHED
Object Providencia E103259 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: Providencia | Statement: [Baquedano, servesDistrict, Providencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providencia
Context triple: [Baquedano, servesDistrict, Providencia]
  • A. Providencia chosen
    Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
  • B. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • C. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • D. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • E. Papudo
    Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c6e540819087c7f92432b27b0f completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a7021081909f81c4ddb48fa00c completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.