Triple

T38531671
Position Surface form Disambiguated ID Type / Status
Subject Santee, South Carolina E923380 entity
Predicate hasNearbyInfrastructure P231 FINISHED
Object Santee Cooper Regional Airport
Santee Cooper Regional Airport is a public-use airport serving general aviation needs in the Santee area of Orangeburg County, South Carolina.
E2277484 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: Santee Cooper Regional Airport | Statement: [Santee, South Carolina, hasNearbyInfrastructure, Santee Cooper Regional Airport]
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: Santee Cooper Regional Airport
Triple: [Santee, South Carolina, hasNearbyInfrastructure, Santee Cooper Regional Airport]
Generated description
Santee Cooper Regional Airport is a public-use airport serving general aviation needs in the Santee area of Orangeburg 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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2b8f2d081908a44bbadbdc2240a completed May 7, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f430eb248190befef915b01ea498 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4a6a95881909f53ad85d7464022 completed June 29, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a41f502b9488190a2ff1991390978b6 completed June 29, 2026, 4:30 a.m.
Created at: May 3, 2026, 4:32 p.m.