Triple

T16337922
Position Surface form Disambiguated ID Type / Status
Subject Barumini E396722 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Villanovafranca
Villanovafranca is a small municipality in the Sardinia region of Italy, known for its rural character and proximity to important archaeological sites.
 E1207201 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: Villanovafranca | Statement: [Barumini, hasNearbyMunicipality, Villanovafranca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villanovafranca
Context triple: [Barumini, hasNearbyMunicipality, Villanovafranca]
  • A. Vergniaud
    Vergniaud is a French surname most notably borne by Pierre Victurnien Vergniaud, a prominent orator and leading figure of the Girondin faction during the French Revolution.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Vosch
    Vosch is a variant form of the name Vos, likely used as a surname or personal name in certain linguistic or regional contexts.
  • D. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • E. Famenne
    Famenne is a natural and historical region in southern Belgium characterized by its limestone landscapes, caves, and rural scenery.
  • 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: Villanovafranca
Triple: [Barumini, hasNearbyMunicipality, Villanovafranca]
Generated description
Villanovafranca is a small municipality in the Sardinia region of Italy, known for its rural character and proximity to important archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villanovafranca
Target entity description: Villanovafranca is a small municipality in the Sardinia region of Italy, known for its rural character and proximity to important archaeological sites.
  • A. Vergniaud
    Vergniaud is a French surname most notably borne by Pierre Victurnien Vergniaud, a prominent orator and leading figure of the Girondin faction during the French Revolution.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Vosch
    Vosch is a variant form of the name Vos, likely used as a surname or personal name in certain linguistic or regional contexts.
  • D. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • E. Famenne
    Famenne is a natural and historical region in southern Belgium characterized by its limestone landscapes, caves, and rural scenery.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e6338081908aa03ee3dcbe5f70 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0028275f008190abd10f186bdf9fd2 completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0028e71de88190b48e33f2116e78dc completed May 10, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:07 a.m.