Triple

T9213224
Position Surface form Disambiguated ID Type / Status
Subject Plasencia E221175 entity
Predicate near P350 FINISHED
Object Valle del Jerte E782224 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: Valle del Jerte | Statement: [Plasencia, near, Valle del Jerte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valle del Jerte
Context triple: [Plasencia, near, Valle del Jerte]
  • A. Valle del Jerte chosen
    Valle del Jerte is a scenic valley in Spain’s Extremadura region, renowned for its cherry orchards and spectacular spring cherry blossom displays.
  • B. Valle de Jálama
    Valle de Jálama is a small valley region in western Spain, near the border with Portugal, known for its distinctive Fala-speaking communities and unique cultural identity.
  • C. Valle del Guadalhorce
    Valle del Guadalhorce is an inland region of Málaga in southern Spain known for its fertile river valley, citrus and olive groves, and traditional Andalusian towns.
  • D. Valle de Bujaruelo
    Valle de Bujaruelo is a scenic Pyrenean valley in northern Spain known for its rugged mountain landscapes, hiking routes, and proximity to the French border.
  • E. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0778e8dc48190bbae39137df966e3 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:27 p.m.