Triple

T14606850
Position Surface form Disambiguated ID Type / Status
Subject Fiambalá hot springs E342851 entity
Predicate locatedNear P294 FINISHED
Object Fiambalá E68410 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: Fiambalá | Statement: [Fiambalá hot springs, locatedNear, Fiambalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiambalá
Context triple: [Fiambalá hot springs, locatedNear, Fiambalá]
  • A. Fiambalá chosen
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • B. Tumbalá
    Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
  • C. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • D. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • E. Yaguachi
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb78c0308190908ba791fd8dc40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:25 a.m.