Triple

T15485057
Position Surface form Disambiguated ID Type / Status
Subject Pericú people E377023 entity
Predicate region P40 FINISHED
Object Isla San José E294948 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: Isla San José | Statement: [Pericú people, region, Isla San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isla San José
Context triple: [Pericú people, region, Isla San José]
  • A. Isla San José chosen
    Isla San José is a large, sparsely populated Mexican island in the Gulf of California known for its desert landscapes, rich marine life, and relatively undisturbed natural environment.
  • B. Isla San José
    Isla San José is one of the larger, sparsely populated islands in Panama’s Pearl Islands archipelago, known for its rich biodiversity, beaches, and use as a private and occasionally military-controlled retreat.
  • C. Isla San José
    Isla San José is a small island located in southern Chile’s Chiloé Archipelago, known for its rural landscapes and maritime surroundings.
  • D. Isla San Jorge
    Isla San Jorge is a small, ecologically significant island in the Gulf of California known for its rich marine biodiversity and seabird colonies.
  • E. Isla San Lorenzo
    Isla San Lorenzo is a large, sparsely inhabited island in Mexico’s Gulf of California known for its arid desert landscapes and rich surrounding marine biodiversity.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9978ae90819088bf7c8890b7a9a5 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 3:46 a.m.