Triple

T6037404
Position Surface form Disambiguated ID Type / Status
Subject Colchagua Province E134455 entity
Predicate hasMunicipality P847 FINISHED
Object Paredones E465756 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: Paredones | Statement: [Colchagua Province, hasMunicipality, Paredones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paredones
Context triple: [Colchagua Province, hasMunicipality, Paredones]
  • A. Paredones chosen
    Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
  • B. Las Piedras
    Las Piedras is a municipality in eastern Puerto Rico known for its suburban communities and proximity to the island’s metropolitan area.
  • C. Las Grietas
    Las Grietas is a popular volcanic rock gorge and swimming spot with clear, sheltered waters on Santa Cruz Island in the Galápagos.
  • D. Muros
    Muros is a small town in the historical Logudoro region of northern Sardinia, Italy, known for its rural character and proximity to Sassari.
  • E. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139031248190b796a655bf07a4bc completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.