Triple

T9178866
Position Surface form Disambiguated ID Type / Status
Subject Monfragüe National Park E220268 entity
Predicate nearestCity P350 FINISHED
Object Plasencia E221175 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: Plasencia | Statement: [Monfragüe National Park, nearestCity, Plasencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plasencia
Context triple: [Monfragüe National Park, nearestCity, Plasencia]
  • A. Plasencia chosen
    Plasencia is a historic city in the Extremadura region of western Spain, known for its well-preserved medieval walls, cathedral complex, and role as a regional cultural and commercial center.
  • B. Santiago de Palos
    Santiago de Palos was one of the ships in Christopher Columbus’s fourth and final voyage to the Americas in the early 16th century.
  • C. Caseres
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • D. San Javier
    San Javier is a town in the Mexican state of Baja California Sur, known for its historic mission and role as a regional cultural and religious center.
  • E. San Javier
    San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c6fd5d4481909300c5101304f35f completed April 4, 2026, 8:08 a.m.
Created at: March 30, 2026, 7:23 p.m.