Triple

T30588990
Position Surface form Disambiguated ID Type / Status
Subject Plymouth, North Carolina E778597 entity
Predicate hasHighSchool P113 FINISHED
Object Washington County High School
Washington County High School is a public secondary school serving students in and around Plymouth in Washington County, North Carolina.
E1946829 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: Washington County High School | Statement: [Plymouth, North Carolina, hasHighSchool, Washington County High School]
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: Washington County High School
Triple: [Plymouth, North Carolina, hasHighSchool, Washington County High School]
Generated description
Washington County High School is a public secondary school serving students in and around Plymouth in Washington County, North 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68978f62481909563f733a8d902db completed May 2, 2026, 11:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a29388a0b048190b104988b4b904aeb completed June 10, 2026, 10:12 a.m.
NEDg Description generation batch_6a2939db5768819087ecea8a785c637d completed June 10, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a293bf644548190beb05576e2c10d29 completed June 10, 2026, 10:27 a.m.
Created at: April 29, 2026, 8:24 p.m.