Triple

T22281375
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Carling E550738 entity
Predicate hasTransportationAccess P1298 FINISHED
Object Highway 559
Highway 559 is a local Ontario roadway that provides access to and through the rural Municipality of Carling, connecting its communities to the broader regional road network.
E2294229 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: Highway 559 | Statement: [Municipality of Carling, hasTransportationAccess, Highway 559]
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: Highway 559
Triple: [Municipality of Carling, hasTransportationAccess, Highway 559]
Generated description
Highway 559 is a local Ontario roadway that provides access to and through the rural Municipality of Carling, connecting its communities to the broader regional road network.

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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eac0994819088e39a1b5d39cf18 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7bbc004a4481908d522aec63a09811 completed Aug. 12, 2026, 12:19 a.m.
NEDg Description generation batch_6a7bbc71fb1c8190b75136bbf88b1077 completed Aug. 12, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_6a7bbcc39afc8190ba8ed711ce007ac3 completed Aug. 12, 2026, 12:22 a.m.
Created at: April 16, 2026, 8:40 p.m.