Triple

T26952397
Position Surface form Disambiguated ID Type / Status
Subject Comarca of Abona E678808 entity
Predicate hasWineDenomination P42729 FINISHED
Object Abona Denominación de Origen
Abona Denominación de Origen is a Spanish wine appellation in Tenerife’s Abona region, recognized for its distinctive volcanic-soil wines and regulated quality standards.
E1748212 NE FINISHED

How this triple was built (2 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: Abona Denominación de Origen | Statement: [Comarca of Abona, hasWineDenomination, Abona Denominación de Origen]
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: Abona Denominación de Origen
Triple: [Comarca of Abona, hasWineDenomination, Abona Denominación de Origen]
Generated description
Abona Denominación de Origen is a Spanish wine appellation in Tenerife’s Abona region, recognized for its distinctive volcanic-soil wines and regulated quality standards.

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_69eeeb4e75f08190b14fc91ca4a91488 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6208ac04c8190b42340e5be9d5b52 completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ece10f481908a3995969a09a319 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a121f3c0dfc81908768b2670cb24b20 completed May 23, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a1220284ddc819085b3ca2cad3fbfa9 completed May 23, 2026, 9:46 p.m.
Created at: April 27, 2026, 6:25 a.m.