Triple

T4743841
Position Surface form Disambiguated ID Type / Status
Subject Cardenal Caro Province E105312 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: [Cardenal Caro Province, hasMunicipality, Paredones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paredones
Context triple: [Cardenal Caro 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. Muros
    Muros is a small town in the historical Logudoro region of northern Sardinia, Italy, known for its rural character and proximity to Sassari.
  • D. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • E. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43af63c48190a8d2751de4e9eee7 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:19 p.m.