Triple

T22157663
Position Surface form Disambiguated ID Type / Status
Subject King's Highway E547581 entity
Predicate hasPart P35 FINISHED
Object Highway 21
Highway 21 is a provincial route in Ontario, Canada, forming part of the historic King's Highway network along the southeastern shore of Lake Huron.
 E2294030 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 21 | Statement: [King's Highway, hasPart, Highway 21]
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 21
Triple: [King's Highway, hasPart, Highway 21]
Generated description
Highway 21 is a provincial route in Ontario, Canada, forming part of the historic King's Highway network along the southeastern shore of Lake Huron.

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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2aadb48190b4d739d1df9529db completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b693799fc8190978be8a67e8e389b completed Aug. 11, 2026, 6:25 p.m.
NEDg Description generation batch_6a7b6aa632d881908e30a5d036503653 completed Aug. 11, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a7b6c2575bc81909d40c5eb8aecd7d9 completed Aug. 11, 2026, 6:38 p.m.
Created at: April 16, 2026, 8:33 p.m.