Triple

T7544731
Position Surface form Disambiguated ID Type / Status
Subject Sos del Rey Católico E178369 entity
Predicate hasNearbyTown P3883 FINISHED
Object Uncastillo
Uncastillo is a historic village in the Cinco Villas region of Aragon, Spain, known for its well-preserved medieval architecture and Romanesque churches.
 E672243 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: Uncastillo | Statement: [Sos del Rey Católico, hasNearbyTown, Uncastillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uncastillo
Context triple: [Sos del Rey Católico, hasNearbyTown, Uncastillo]
  • A. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • B. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • C. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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: Uncastillo
Triple: [Sos del Rey Católico, hasNearbyTown, Uncastillo]
Generated description
Uncastillo is a historic village in the Cinco Villas region of Aragon, Spain, known for its well-preserved medieval architecture and Romanesque churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uncastillo
Target entity description: Uncastillo is a historic village in the Cinco Villas region of Aragon, Spain, known for its well-preserved medieval architecture and Romanesque churches.
  • A. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • B. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • C. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.