Triple

T29744910
Position Surface form Disambiguated ID Type / Status
Subject Blossburg, Pennsylvania E752723 entity
Predicate hasPublicSchoolDistrict P226 FINISHED
Object Southern Tioga School District
Southern Tioga School District is a public school district in north-central Pennsylvania that serves students in Blossburg and surrounding rural communities.
E1881963 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: Southern Tioga School District | Statement: [Blossburg, Pennsylvania, hasPublicSchoolDistrict, Southern Tioga 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: Southern Tioga School District
Triple: [Blossburg, Pennsylvania, hasPublicSchoolDistrict, Southern Tioga School District]
Generated description
Southern Tioga School District is a public school district in north-central Pennsylvania that serves students in Blossburg and surrounding rural 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_69f0d62b064081908c1ae61cd68fb139 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f67366211c8190b035057fa2665bf7 completed May 2, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa90a78c8190979af36a48b7ffb0 completed June 8, 2026, 11:42 a.m.
NEDg Description generation batch_6a26b05b3408819098b819b46e4df625 completed June 8, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a26b478c450819090c8830333fe1030 completed June 8, 2026, 12:24 p.m.
Created at: April 28, 2026, 7:50 p.m.