Triple

T24966787
Position Surface form Disambiguated ID Type / Status
Subject Quakertown, Pennsylvania E624768 entity
Predicate hasHighSchool P113 FINISHED
Object Quakertown Community High School
Quakertown Community High School is a public secondary school serving students in the Quakertown area of Bucks County, Pennsylvania.
E1661770 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: Quakertown Community High School | Statement: [Quakertown, Pennsylvania, hasHighSchool, Quakertown Community 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: Quakertown Community High School
Triple: [Quakertown, Pennsylvania, hasHighSchool, Quakertown Community High School]
Generated description
Quakertown Community High School is a public secondary school serving students in the Quakertown area of Bucks 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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f444d9526c81908b5ee00d062d27f7 completed May 1, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048a3533c8190b75553b97ed1b4a5 completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a10498ee91081909f400a590f3646a7 completed May 22, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a104a82de208190b720e5690a5094c0 completed May 22, 2026, 12:22 p.m.
Created at: April 18, 2026, 6 a.m.