Triple

T27188840
Position Surface form Disambiguated ID Type / Status
Subject Sidney, New York E683410 entity
Predicate hasPublicSchoolDistrict P226 FINISHED
Object Sidney Central School District
Sidney Central School District is a public school district serving students in and around the village of Sidney in Delaware County, New York.
E1771595 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: Sidney Central School District | Statement: [Sidney, New York, hasPublicSchoolDistrict, Sidney Central School District]
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: Sidney Central School District
Triple: [Sidney, New York, hasPublicSchoolDistrict, Sidney Central School District]
Generated description
Sidney Central School District is a public school district serving students in and around the village of Sidney in Delaware County, New York.

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_69eefad140408190b8586fdebcf9af46 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625a9e3688190996e628a17d211d0 completed May 2, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b222e4208190b14f05f9223aa8e2 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b2c102b881908d0c1299f6e1035d completed May 24, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a12b33dc9f881908cca1fd1b03c6c67 completed May 24, 2026, 8:13 a.m.
Created at: April 27, 2026, 9:31 a.m.