Triple

T38234052
Position Surface form Disambiguated ID Type / Status
Subject Bishopville, South Carolina E1013570 entity
Predicate hasLibrary P35 FINISHED
Object Lee County Public Library
Lee County Public Library is the main public library serving the residents of Bishopville and the surrounding communities in Lee County, South Carolina.
E2261806 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: Lee County Public Library | Statement: [Bishopville, South Carolina, hasLibrary, Lee County Public Library]
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: Lee County Public Library
Triple: [Bishopville, South Carolina, hasLibrary, Lee County Public Library]
Generated description
Lee County Public Library is the main public library serving the residents of Bishopville and the surrounding communities in Lee County, South Carolina.

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_69f76dd72a248190a5fe18db2bd1eb15 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb17a562c8190923a310b8b94b9fc completed May 7, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41855bf9ec8190a5c39796b16bd846 completed June 28, 2026, 8:34 p.m.
NEDg Description generation batch_6a418c0439bc819090484dcbcc47e3ce completed June 28, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_6a418c5cd2648190848cbe1a21b14a24 completed June 28, 2026, 9:04 p.m.
Created at: May 3, 2026, 4:30 p.m.