Triple

T22671737
Position Surface form Disambiguated ID Type / Status
Subject Tarazona y el Moncayo comarca E560233 entity
Predicate containsSettlement P847 FINISHED
Object Torrellas
Torrellas is a small municipality in the province of Zaragoza, Aragon, Spain, situated near the Moncayo massif.
E1548681 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: Torrellas | Statement: [Tarazona y el Moncayo comarca, containsSettlement, Torrellas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torrellas
Context triple: [Tarazona y el Moncayo comarca, containsSettlement, Torrellas]
  • A. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • B. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. L’Estartit
    L’Estartit is a coastal town on Spain’s Costa Brava, known for its beaches and proximity to the protected Medes Islands marine reserve.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. Las Caletas
    Las Caletas is a small coastal settlement on the southern part of La Palma in Spain’s Canary Islands, known for its volcanic landscapes and Atlantic shoreline.
  • 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: Torrellas
Triple: [Tarazona y el Moncayo comarca, containsSettlement, Torrellas]
Generated description
Torrellas is a small municipality in the province of Zaragoza, Aragon, Spain, situated near the Moncayo massif.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Torrellas
Target entity description: Torrellas is a small municipality in the province of Zaragoza, Aragon, Spain, situated near the Moncayo massif.
  • A. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • B. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. L’Estartit
    L’Estartit is a coastal town on Spain’s Costa Brava, known for its beaches and proximity to the protected Medes Islands marine reserve.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. Las Caletas
    Las Caletas is a small coastal settlement on the southern part of La Palma in Spain’s Canary Islands, known for its volcanic landscapes and Atlantic shoreline.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73ed2d588190a9d9382c11fbb1a5 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7505c99081908a9faac30451e6e8 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b761510b48190a09722be3fca7e93 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:10 p.m.