Triple

T35390046
Position Surface form Disambiguated ID Type / Status
Subject Effingham, South Carolina E1022904 entity
Predicate isGovernedBy P2820 FINISHED
Object Florence County government
Florence County government is the local governing body responsible for administering public services, regulations, and policies throughout Florence County, South Carolina.
E2139189 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: Florence County government | Statement: [Effingham, South Carolina, isGovernedBy, Florence County government]
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: Florence County government
Triple: [Effingham, South Carolina, isGovernedBy, Florence County government]
Generated description
Florence County government is the local governing body responsible for administering public services, regulations, and policies throughout Florence 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_69f76df34ba48190bd80f0814cdcd540 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f794fb8ee88190a19505f601bc00fb completed May 3, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cc3986c819080b99dd8cd90b6dc completed June 21, 2026, 6:26 p.m.
NEDg Description generation batch_6a382ddb48d081908b471af4a6fe70ff completed June 21, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_6a382e98a29c8190baf0ade40125d39a completed June 21, 2026, 6:34 p.m.
Created at: May 3, 2026, 4:03 p.m.