Triple

T22011822
Position Surface form Disambiguated ID Type / Status
Subject Confluence, Pennsylvania E543593 entity
Predicate transportation P230 FINISHED
Object Pennsylvania Route 523
Pennsylvania Route 523 is a short state highway in southwestern Pennsylvania that connects the borough of Confluence to nearby areas along the Youghiogheny River.
E1812678 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: Pennsylvania Route 523 | Statement: [Confluence, Pennsylvania, transportation, Pennsylvania Route 523]
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: Pennsylvania Route 523
Triple: [Confluence, Pennsylvania, transportation, Pennsylvania Route 523]
Generated description
Pennsylvania Route 523 is a short state highway in southwestern Pennsylvania that connects the borough of Confluence to nearby areas along the Youghiogheny River.

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1606e1bc188190829c97ea704d4927 completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a161feb3d908190b4b36e31cc2f5755 completed May 26, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_6a16207483b0819082e9327aa1bf63f2 completed May 26, 2026, 10:36 p.m.
Created at: April 16, 2026, 8:22 p.m.