Triple

T8005937
Position Surface form Disambiguated ID Type / Status
Subject David Villa E186363 entity
Predicate placeOfBirth P1 FINISHED
Object Tuilla
Tuilla is a small mining village in the municipality of Langreo in Asturias, northern Spain.
 E705416 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: Tuilla | Statement: [David Villa, placeOfBirth, Tuilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuilla
Context triple: [David Villa, placeOfBirth, Tuilla]
  • A. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • B. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • C. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • D. Olana
    Olana is the historic Hudson River Valley home and Persian-inspired estate of 19th-century landscape painter Frederic Edwin Church, now preserved as a New York State Historic Site.
  • E. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • 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: Tuilla
Triple: [David Villa, placeOfBirth, Tuilla]
Generated description
Tuilla is a small mining village in the municipality of Langreo in Asturias, northern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuilla
Target entity description: Tuilla is a small mining village in the municipality of Langreo in Asturias, northern Spain.
  • A. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • B. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • C. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • D. Olana
    Olana is the historic Hudson River Valley home and Persian-inspired estate of 19th-century landscape painter Frederic Edwin Church, now preserved as a New York State Historic Site.
  • E. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.