Triple

T22671738
Position Surface form Disambiguated ID Type / Status
Subject Tarazona y el Moncayo comarca E560233 entity
Predicate containsSettlement P847 FINISHED
Object Trasmoz NE NERFINISHED

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: Trasmoz | Statement: [Tarazona y el Moncayo comarca, containsSettlement, Trasmoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trasmoz
Context triple: [Tarazona y el Moncayo comarca, containsSettlement, Trasmoz]
  • A. Esmoriz
    Esmoriz is a coastal town and civil parish in northern Portugal known for its beaches, lagoon, and integration into the municipality of Ovar.
  • B. Illescas
    Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • C. Villarluengo chosen
    Villarluengo is a small rural municipality in the mountainous Maestrazgo comarca of the Aragon region in northeastern Spain.
  • D. Trévélez
    Trévélez is a small Spanish mountain village in the Alpujarras region of Granada, renowned for being one of the highest villages in Spain and for its traditional air-cured ham (jamón).
  • E. Avilés
    Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.