Triple

T23583316
Position Surface form Disambiguated ID Type / Status
Subject Cranberry Township, Pennsylvania E582266 entity
Predicate schoolDistrict P226 FINISHED
Object Seneca Valley School District
Seneca Valley School District is a public school district in western Pennsylvania that serves students from Cranberry Township and several surrounding communities.
E1595673 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: Seneca Valley School District | Statement: [Cranberry Township, Pennsylvania, schoolDistrict, Seneca Valley 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: Seneca Valley School District
Triple: [Cranberry Township, Pennsylvania, schoolDistrict, Seneca Valley School District]
Generated description
Seneca Valley School District is a public school district in western Pennsylvania that serves students from Cranberry Township and several surrounding 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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b02e19808190a41bce305f6cd5da completed April 29, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45772fa88190aec8f43184e701f2 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f4762e62c81908285cf6299f22250 completed May 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f481aa71c8190bbbab462001d3586 completed May 21, 2026, 5:59 p.m.
Created at: April 17, 2026, 6:40 p.m.