Triple

T15567578
Position Surface form Disambiguated ID Type / Status
Subject Ourém E374155 entity
Predicate contains P35 FINISHED
Object Freixianda
Freixianda is a civil parish and rural locality in the municipality of Ourém in central Portugal.
E1166606 NE FINISHED

How this triple was built (4 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: Freixianda | Statement: [Ourém, contains, Freixianda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freixianda
Context triple: [Ourém, contains, Freixianda]
  • A. Adriasola
    Adriasola is a Spanish-language surname, notably borne by Chilean lawyer and conservative political figure María Pía Adriasola.
  • B. Galdámez
    Galdámez is a Spanish-language surname of likely Iberian or Latin American origin.
  • C. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • D. Bagergue
    Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
  • E. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Freixianda
Triple: [Ourém, contains, Freixianda]
Generated description
Freixianda is a civil parish and rural locality in the municipality of Ourém in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Freixianda
Target entity description: Freixianda is a civil parish and rural locality in the municipality of Ourém in central Portugal.
  • A. Adriasola
    Adriasola is a Spanish-language surname, notably borne by Chilean lawyer and conservative political figure María Pía Adriasola.
  • B. Galdámez
    Galdámez is a Spanish-language surname of likely Iberian or Latin American origin.
  • C. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • D. Bagergue
    Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
  • E. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • F. None of above. chosen

Provenance (5 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c231e0819083d6032eb21114b2 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff58334f688190907e331755156c8a completed May 9, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff588814808190a7e593a5ae80f816 completed May 9, 2026, 3:53 p.m.
Created at: April 10, 2026, 4:10 a.m.