Triple

T29740902
Position Surface form Disambiguated ID Type / Status
Subject DuBois, Pennsylvania E752600 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Sandy Township, Pennsylvania
Sandy Township, Pennsylvania is a largely residential and rural municipality in Clearfield County that borders and surrounds much of the city of DuBois.
E1881924 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: Sandy Township, Pennsylvania | Statement: [DuBois, Pennsylvania, hasNearbyCommunity, Sandy Township, Pennsylvania]
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: Sandy Township, Pennsylvania
Triple: [DuBois, Pennsylvania, hasNearbyCommunity, Sandy Township, Pennsylvania]
Generated description
Sandy Township, Pennsylvania is a largely residential and rural municipality in Clearfield County that borders and surrounds much of the city of DuBois.

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_69f67337d7e48190af1dcaba31b83419 completed May 2, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa8c328881909885f6674c8c7a24 completed June 8, 2026, 11:42 a.m.
NEDg Description generation batch_6a26b58435608190bd536ba9566012a1 completed June 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a26b71d306081908a97e1af6266bf6a completed June 8, 2026, 12:35 p.m.
Created at: April 28, 2026, 7:48 p.m.