Triple

T12222821
Position Surface form Disambiguated ID Type / Status
Subject Babusar Pass E291261 entity
Predicate nearSettlement P3883 FINISHED
Object Chilas E926895 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: Chilas | Statement: [Babusar Pass, nearSettlement, Chilas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilas
Context triple: [Babusar Pass, nearSettlement, Chilas]
  • A. Chilas chosen
    Chilas is a town in Pakistan’s Gilgit-Baltistan region, situated along the Karakoram Highway on the Indus River and serving as a key stopover for travelers heading to northern mountain destinations.
  • B. Malargüe
    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.
  • 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. Cuyoño
    Cuyoño is an Austronesian language spoken primarily in the Cuyo Islands and parts of Palawan in the Philippines.
  • E. Vallorcine
    Vallorcine is a small alpine village and ski resort in the French Alps, known for its scenic setting close to the Mont Blanc massif and its access to hiking and winter sports.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345e63dc81908f711dfb6d3b5a1f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.