Triple

T16031897
Position Surface form Disambiguated ID Type / Status
Subject Hijuelas E388865 entity
Predicate borderedBy P224 FINISHED
Object Quillota E104958 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: Quillota | Statement: [Hijuelas, borderedBy, Quillota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quillota
Context triple: [Hijuelas, borderedBy, Quillota]
  • A. Quillota chosen
    Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
  • B. Conchalí
    Conchalí is a predominantly residential commune and district in the northern part of Santiago, Chile, known for its working-class neighborhoods and urban character.
  • C. Nancagua
    Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • D. Rancagua
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • E. Pichilemu
    Pichilemu is a coastal Chilean city renowned as a major surfing destination and seaside resort on the Pacific Ocean.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183384d848190988be7e68770f6ba completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb893f988190a0693564bbe78ca1 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.