Triple

T31697340
Position Surface form Disambiguated ID Type / Status
Subject Israeli wine industry E808950 entity
Predicate regulatoryBody P86 FINISHED
Object Israel Wine and Grapes Board
The Israel Wine and Grapes Board is the national body that oversees and supports Israel’s wine and grape sector, including quality standards, production regulation, and industry development.
E1974220 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: Israel Wine and Grapes Board | Statement: [Israeli wine industry, regulatoryBody, Israel Wine and Grapes Board]
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: Israel Wine and Grapes Board
Triple: [Israeli wine industry, regulatoryBody, Israel Wine and Grapes Board]
Generated description
The Israel Wine and Grapes Board is the national body that oversees and supports Israel’s wine and grape sector, including quality standards, production regulation, and industry development.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaa66e1081909afb3623b110db70 completed May 3, 2026, 1:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84c5f2f8819084a16dac74bd134e completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b857dd8708190984e04b26d63e120 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8680bf2481908a1d59faf84ade89 completed June 12, 2026, 4:09 a.m.
Created at: April 30, 2026, 11:10 p.m.