Triple

T24548612
Position Surface form Disambiguated ID Type / Status
Subject Dozza E607293 entity
Predicate hasWineInstitution P156280 FINISHED
Object Enoteca Regionale dell’Emilia-Romagna
Enoteca Regionale dell’Emilia-Romagna is a regional wine center and showcase dedicated to promoting and representing the wines and wine culture of Italy’s Emilia-Romagna region.
 E1639970 NE FINISHED

How this triple was built (3 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: Enoteca Regionale dell’Emilia-Romagna | Statement: [Dozza, hasWineInstitution, Enoteca Regionale dell’Emilia-Romagna]
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: Enoteca Regionale dell’Emilia-Romagna
Triple: [Dozza, hasWineInstitution, Enoteca Regionale dell’Emilia-Romagna]
Generated description
Enoteca Regionale dell’Emilia-Romagna is a regional wine center and showcase dedicated to promoting and representing the wines and wine culture of Italy’s Emilia-Romagna region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWineInstitution
Context triple: [Dozza, hasWineInstitution, Enoteca Regionale dell’Emilia-Romagna]
  • A. hasWinery
    Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
  • B. hasNearbyWinery
    Indicates that one entity is located close to, or in the vicinity of, a winery.
  • C. hasWineVillage
    Indicates that a place or region includes or is associated with a village known for wine production or viticulture.
  • D. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • E. hasWineBrand
    Indicates a relationship where an entity is associated with or offers a specific wine brand.
  • F. None of above. chosen

Provenance (7 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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8cb6dc081909bf37123d82ed2c9 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff85cf854819091b4adc0cb083a48 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff91ca7ac8190a5a42198badb6db4 completed May 22, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9a53da081908bd4dd7bc4dd8143 completed May 22, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f2a6b99e7c8190ba7e2dc8729a314a completed April 30, 2026, 12:47 a.m.
PDg Predicate description generation batch_69f2a846c5bc81909ba50cee483bea91 completed April 30, 2026, 12:54 a.m.
Created at: April 18, 2026, 2:27 a.m.