Triple

T6076743
Position Surface form Disambiguated ID Type / Status
Subject Maipo Province E135418 entity
Predicate hasSettlement P1068 FINISHED
Object Calera de Tango E145228 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: Calera de Tango | Statement: [Maipo Province, hasSettlement, Calera de Tango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calera de Tango
Context triple: [Maipo Province, hasSettlement, Calera de Tango]
  • A. Calera de Tango chosen
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • B. Libertango
    "Libertango" is a famous tango nuevo composition by Ástor Piazzolla, widely recognized for its fusion of classical, jazz, and traditional Argentine tango elements.
  • C. Carmen de Patagones
    Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
  • D. El Duende chilote
    El Duende chilote is a mischievous goblin-like spirit from the folklore of Chile’s Chiloé Archipelago, known for playing tricks on people, especially in rural and seafaring communities.
  • E. Esteli
    Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0576ef2c88190b0ec62e9f041d176 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1252a178c81909a3d689ad748fb5e completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:11 p.m.