Triple

T10662135
Position Surface form Disambiguated ID Type / Status
Subject Las Leñas E251251 entity
Predicate nearestMajorCity P1982 FINISHED
Object Malargüe E876586 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: Malargüe | Statement: [Las Leñas, nearestMajorCity, Malargüe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malargüe
Context triple: [Las Leñas, nearestMajorCity, Malargüe]
  • A. Malargüe chosen
    Malargüe is a city in Argentina’s Mendoza Province known as a gateway to the Andean highlands, volcanic landscapes, and regional astronomical and scientific observatories.
  • B. Lanín
    Lanín is a prominent stratovolcano in the southern Andes, straddling the border between Argentina and Chile and known for its conical shape and popular mountaineering routes.
  • C. Caviahue
    Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • D. Saltangará
    Saltangará is a village on the Faroe Islands' island of Eysturoy, known as a small coastal settlement within this North Atlantic archipelago.
  • E. Dalcahue
    Dalcahue is a coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture, fishing culture, and role as a local transport and market hub.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e018d1e881909b8e62682104e842 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9885dc17881909df20abedd9da5e3 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:08 p.m.