Triple

T38450739
Position Surface form Disambiguated ID Type / Status
Subject Jones Family Farms E912167 entity
Predicate name P16 FINISHED
Object Jones Family Farms
Jones Family Farms is a family-owned agricultural and agritourism destination, best known for its seasonal pick-your-own crops, farm events, and community-focused activities.
E2269737 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: Jones Family Farms | Statement: [Jones Family Farms, name, Jones Family Farms]
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: Jones Family Farms
Triple: [Jones Family Farms, name, Jones Family Farms]
Generated description
Jones Family Farms is a family-owned agricultural and agritourism destination, best known for its seasonal pick-your-own crops, farm events, and community-focused activities.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fccdfe039c8190906d22a5efbc6d41 completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c2a3cbd08190b5a0654350438547 completed June 29, 2026, 12:56 a.m.
NEDg Description generation batch_6a41c40a3de08190946014ea3310a85d completed June 29, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_6a41c4f387a48190a1696fb010430f69 completed June 29, 2026, 1:05 a.m.
Created at: May 3, 2026, 4:31 p.m.