Triple

T3749882
Position Surface form Disambiguated ID Type / Status
Subject Santiago Oriente E81300 entity
Predicate hasCommune P51099 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: [Santiago Oriente, hasCommune, Providencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providencia
Context triple: [Santiago Oriente, hasCommune, 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 a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • D. 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.
  • E. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db31f964819087bab143f638754f completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.