Triple

T25385913
Position Surface form Disambiguated ID Type / Status
Subject Camden County, North Carolina E631522 entity
Predicate hasSchoolDistrict P226 FINISHED
Object Camden County Schools
Camden County Schools is the public school district that serves students in Camden County, North Carolina, providing K–12 education across the county’s communities.
E1679719 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: Camden County Schools | Statement: [Camden County, North Carolina, hasSchoolDistrict, Camden County Schools]
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: Camden County Schools
Triple: [Camden County, North Carolina, hasSchoolDistrict, Camden County Schools]
Generated description
Camden County Schools is the public school district that serves students in Camden County, North Carolina, providing K–12 education across the county’s communities.

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_69e75a8c50788190aabaa9f96710fc43 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f5656a1e8081908dbec5e5e1d21319 completed May 2, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108985dc3c8190a56ffbb0e0ecc5a8 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a6600608190a719b3772ea40377 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b5689008190b0b1cc1ae06f2ae6 completed May 22, 2026, 4:59 p.m.
Created at: April 21, 2026, 1:47 p.m.