Triple

T21361405
Position Surface form Disambiguated ID Type / Status
Subject Parma, Ohio E526788 entity
Predicate majorRoad P385 FINISHED
Object State Route 94
State Route 94 is a primary north–south state highway in Ohio that serves as a key transportation corridor through communities such as Parma.
 E2287241 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: State Route 94 | Statement: [Parma, Ohio, majorRoad, State Route 94]
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: State Route 94
Triple: [Parma, Ohio, majorRoad, State Route 94]
Generated description
State Route 94 is a primary north–south state highway in Ohio that serves as a key transportation corridor through communities such as Parma.

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_69e8b06a4e4c8190923741bfae0e4234 completed April 22, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4772cd44e48190852fe80ae95cf978 completed July 3, 2026, 8:29 a.m.
NEDg Description generation batch_6a47745193708190a0eb5004fbfb4f73 completed July 3, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a4776fdfba8819089631b6b366b818e completed July 3, 2026, 8:46 a.m.
Created at: April 16, 2026, 5:08 p.m.