Triple

T24130579
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Route 18 E597940 entity
Predicate hasJunctionWith P1018 FINISHED
Object Pennsylvania Route 285
Pennsylvania Route 285 is a state highway in northwestern Pennsylvania that runs east–west through Crawford County, connecting rural communities and providing access to nearby recreational areas.
E1914564 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 285 | Statement: [Pennsylvania Route 18, hasJunctionWith, Pennsylvania Route 285]
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 285
Triple: [Pennsylvania Route 18, hasJunctionWith, Pennsylvania Route 285]
Generated description
Pennsylvania Route 285 is a state highway in northwestern Pennsylvania that runs east–west through Crawford County, connecting rural communities and providing access to nearby recreational areas.

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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df7788788190a71ad080fc2890a8 completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a279889658881909925cabc3245dccc completed June 9, 2026, 4:37 a.m.
NEDg Description generation batch_6a2799a448a08190846b636fe84f73ce completed June 9, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a279a2c8d0c8190aa6d61585c23d0ab completed June 9, 2026, 4:44 a.m.
Created at: April 17, 2026, 11:24 p.m.