Triple

T21357492
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Route 120 E526671 entity
Predicate hasJunctionWith P1018 FINISHED
Object Pennsylvania Route 555
Pennsylvania Route 555 is a state highway in north-central Pennsylvania that runs through largely rural, forested areas, connecting small communities and providing access to recreational regions such as the Elk State Forest.
E1690574 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 555 | Statement: [Pennsylvania Route 120, hasJunctionWith, Pennsylvania Route 555]
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 555
Triple: [Pennsylvania Route 120, hasJunctionWith, Pennsylvania Route 555]
Generated description
Pennsylvania Route 555 is a state highway in north-central Pennsylvania that runs through largely rural, forested areas, connecting small communities and providing access to recreational regions such as the Elk State Forest.

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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c0fa870c81909ae631e459d1737f completed May 22, 2026, 8:47 p.m.
NEDg Description generation batch_6a10c2d522988190bc01978dc5ef272f completed May 22, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a10c365b12c8190bc9b683ad855c776 completed May 22, 2026, 8:58 p.m.
Created at: April 16, 2026, 5:07 p.m.