Triple

T33695542
Position Surface form Disambiguated ID Type / Status
Subject Lionville, Pennsylvania E863295 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Lionville Elementary School
Lionville Elementary School is a public primary school serving early-grade students in the Lionville area of Chester County, Pennsylvania.
E2064847 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: Lionville Elementary School | Statement: [Lionville, Pennsylvania, hasEducationalInstitution, Lionville Elementary 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: Lionville Elementary School
Triple: [Lionville, Pennsylvania, hasEducationalInstitution, Lionville Elementary School]
Generated description
Lionville Elementary School is a public primary school serving early-grade students in the Lionville area of Chester County, Pennsylvania.

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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa89957881908bc50c8ce09b99b5 completed May 3, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a365c72f0048190807c2ae8294c4a80 completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365cd7639081909ac1baf5299bc695 completed June 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a365e2cb78c819081d7a30b7a129630 completed June 20, 2026, 9:32 a.m.
Created at: May 1, 2026, 1:43 a.m.