Triple

T34285701
Position Surface form Disambiguated ID Type / Status
Subject Cumru Township Board of Commissioners E879727 entity
Predicate meetsIn P40 FINISHED
Object Cumru Township municipal building
The Cumru Township municipal building is the primary government facility where the township’s administrative offices are located and official public meetings are held.
E2090270 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: Cumru Township municipal building | Statement: [Cumru Township Board of Commissioners, meetsIn, Cumru Township municipal building]
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: Cumru Township municipal building
Triple: [Cumru Township Board of Commissioners, meetsIn, Cumru Township municipal building]
Generated description
The Cumru Township municipal building is the primary government facility where the township’s administrative offices are located and official public meetings are held.

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_69f349b6df1c81908e5e5b6c2ab6409b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7130eb9008190ac90964ed3440ddc completed May 3, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36e62ff9d881909b608f8475188d2b completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36f2221ce88190963ebdae39f691e1 completed June 20, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a36f28e08c881909ea51ccaccb891a8 completed June 20, 2026, 8:05 p.m.
Created at: May 1, 2026, 1:57 a.m.