Triple

T14785863
Position Surface form Disambiguated ID Type / Status
Subject Sierra Norte de Guadalajara E347521 entity
Predicate containsSettlement P847 FINISHED
Object Sigüenza E443543 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: Sigüenza | Statement: [Sierra Norte de Guadalajara, containsSettlement, Sigüenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigüenza
Context triple: [Sierra Norte de Guadalajara, containsSettlement, Sigüenza]
  • A. Sigüenza chosen
    Sigüenza is a historic town in central Spain renowned for its medieval architecture, including a prominent castle and cathedral.
  • B. Valverde de la Vera
    Valverde de la Vera is a historic village in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and scenic setting in the La Vera region.
  • C. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • D. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • E. Illescas
    Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff218f11008190bd4837f900746d1a completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 1:31 a.m.