Triple

T15487132
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Albarracín E377075 entity
Predicate contains P35 FINISHED
Object Terriente
Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
 E1159267 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: Terriente | Statement: [Sierra de Albarracín, contains, Terriente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terriente
Context triple: [Sierra de Albarracín, contains, Terriente]
  • A. Tungasuca
    Tungasuca is a village in the Cusco region of Peru historically known as the home base and jurisdiction of the 18th-century indigenous rebel leader Túpac Amaru II.
  • B. Tatengue
    Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
  • C. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • 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: Terriente
Triple: [Sierra de Albarracín, contains, Terriente]
Generated description
Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terriente
Target entity description: Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
  • A. Tungasuca
    Tungasuca is a village in the Cusco region of Peru historically known as the home base and jurisdiction of the 18th-century indigenous rebel leader Túpac Amaru II.
  • B. Tatengue
    Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
  • C. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Tierra de Barros
    Tierra de Barros is a renowned wine- and olive-producing comarca in southwestern Spain characterized by its fertile, clay-rich soils.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d1170088190a911f8ea8d2a2066 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:48 a.m.