Triple

T3298719
Position Surface form Disambiguated ID Type / Status
Subject Province of Guadalajara E69277 entity
Predicate contains P35 FINISHED
Object Atienza
Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
 E348667 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: Atienza | Statement: [Province of Guadalajara, contains, Atienza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Atienza
Context triple: [Province of Guadalajara, contains, Atienza]
  • A. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • 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: Atienza
Triple: [Province of Guadalajara, contains, Atienza]
Generated description
Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Atienza
Target entity description: Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
  • A. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c34cc388190a5fab8e9b2a1aa92 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da025048190b7d1611df82a542c completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:11 p.m.