Triple

T16824399
Position Surface form Disambiguated ID Type / Status
Subject Wahatoya E408978 entity
Predicate partOf P40 FINISHED
Object Spanish Peaks E92426 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: Spanish Peaks | Statement: [Wahatoya, partOf, Spanish Peaks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish Peaks
Context triple: [Wahatoya, partOf, Spanish Peaks]
  • A. Spanish Peaks chosen
    Spanish Peaks is a prominent pair of volcanic mountains in southern Colorado known for their distinctive twin summits and cultural significance as landmarks on the plains.
  • B. Picos
    Picos is a municipality in the Brazilian state of Piauí known as a regional commercial and services hub in the semi-arid Northeast.
  • C. Lima Peaks
    Lima Peaks are a group of rugged mountain summits in southwestern Montana, known for their dramatic relief and outdoor recreation opportunities within the northern Rocky Mountains.
  • D. Morros
    Morros is the surname of Boris Morros, a Russian-born American film producer and double agent involved in Cold War espionage.
  • E. Los Cerros
    Los Cerros is a residential and commercial neighborhood within the Chapinero locality of Bogotá, Colombia, known for its hillside setting near the Eastern Hills.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b310ffec81908087e5aaacc4a7c2 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29c170c81908fcc88c31e266ffb completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.