Triple

T16339357
Position Surface form Disambiguated ID Type / Status
Subject Isla Negra, Chile E396755 entity
Predicate nearbyCity P350 FINISHED
Object Algarrobo E385118 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: Algarrobo | Statement: [Isla Negra, Chile, nearbyCity, Algarrobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarrobo
Context triple: [Isla Negra, Chile, nearbyCity, Algarrobo]
  • A. Algarrobo chosen
    Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
  • B. Qualea
    Qualea is a genus of flowering plants in the family Vochysiaceae, comprising mostly tropical trees and shrubs native to Central and South America.
  • C. Guaiúba
    Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
  • D. Ceboruco
    Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
  • E. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da08fbc88190a31127d10ca633d6 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.