Triple

T16792985
Position Surface form Disambiguated ID Type / Status
Subject Cordillera de los Maribios E408158 entity
Predicate hasVolcano P6356 FINISHED
Object Telica E404967 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: Telica | Statement: [Cordillera de los Maribios, hasVolcano, Telica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telica
Context triple: [Cordillera de los Maribios, hasVolcano, Telica]
  • A. Telica chosen
    Telica is an active stratovolcano in western Nicaragua known for its frequent eruptions and prominent volcanic crater.
  • B. Tuspa
    Tuspa is an alternative name for Tushpa, the ancient capital city of the Urartian kingdom located near modern-day Lake Van in eastern Turkey.
  • C. Torío
    Torío is a river in the province of León in northwestern Spain, known for flowing through the Cantabrian Mountains before joining the Bernesga River near the city of León.
  • D. Tiscamanita
    Tiscamanita is a small village on the island of Fuerteventura in Spain’s Canary Islands, known for its traditional windmills and rural character.
  • E. Ticha
    Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.