Triple

T32999115
Position Surface form Disambiguated ID Type / Status
Subject Hobcaw House E844313 entity
Predicate partOf P40 FINISHED
Object Hobcaw Barony plantation
Hobcaw Barony plantation is a historic former rice plantation and nature preserve on the South Carolina coast, known for its rich ecological diversity and ties to Gilded Age financier Bernard Baruch.
E2036012 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: Hobcaw Barony plantation | Statement: [Hobcaw House, partOf, Hobcaw Barony plantation]
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: Hobcaw Barony plantation
Triple: [Hobcaw House, partOf, Hobcaw Barony plantation]
Generated description
Hobcaw Barony plantation is a historic former rice plantation and nature preserve on the South Carolina coast, known for its rich ecological diversity and ties to Gilded Age financier Bernard Baruch.

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_69f3494e59f08190b9127c693e5c7e8f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d21a2b5481909517da6098326144 completed May 3, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f005936881909b4e83bee51b31d1 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f3a1f124819089a13499a4a65e7c completed June 19, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34f50b27508190972dfdbde7652ce9 completed June 19, 2026, 7:51 a.m.
Created at: May 1, 2026, 1:22 a.m.