Triple

T25697516
Position Surface form Disambiguated ID Type / Status
Subject Freisa E644361 entity
Predicate notableDOCRegion P193985 FINISHED
Object Freisa d’Asti DOC
Freisa d’Asti DOC is an Italian Denominazione di Origine Controllata wine appellation in the Asti area of Piedmont, known for producing distinctive red wines from the Freisa grape.
E1689274 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: Freisa d’Asti DOC | Statement: [Freisa, notableDOCRegion, Freisa d’Asti DOC]
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: Freisa d’Asti DOC
Triple: [Freisa, notableDOCRegion, Freisa d’Asti DOC]
Generated description
Freisa d’Asti DOC is an Italian Denominazione di Origine Controllata wine appellation in the Asti area of Piedmont, known for producing distinctive red wines from the Freisa grape.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDOCRegion
Context triple: [Freisa, notableDOCRegion, Freisa d’Asti DOC]
  • A. cinemaRegion
    Indicates that a cinema is located within, or associated with, a particular geographic or administrative region.
  • B. notableDiversityRegion
    Indicates that a region is recognized for having significant diversity, such as in its population, culture, or environment.
  • C. notableInRegion
    Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
  • D. notableTourRegion
    Indicates that an entity is a region recognized as a significant or popular destination for tours or tourism.
  • E. filmRegion
    Indicates the geographic region or market in which a film is released, distributed, or primarily associated.
  • 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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fd5d48855c8190bd93070b6a00d8b5 completed May 8, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c16a501c81908a42ec8e825566d0 completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c2489ee48190a35add76cdf94b8b completed May 22, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_6a10c30975b08190b22c052dab147afe completed May 22, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69fd5c9aabb88190912800d90184a89d completed May 8, 2026, 3:46 a.m.
PDg Predicate description generation batch_69fd5d47da488190a4f2dbd44a0a83b2 completed May 8, 2026, 3:49 a.m.
Created at: April 21, 2026, 8:38 p.m.