Triple

T29956234
Position Surface form Disambiguated ID Type / Status
Subject Burford, Ontario E760907 entity
Predicate roadAccess P385 FINISHED
Object Ontario Highway 53
Ontario Highway 53 is a former provincial highway in southwestern Ontario that once served as an important east–west route connecting communities between Brantford and Hamilton.
 E2014017 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: Ontario Highway 53 | Statement: [Burford, Ontario, roadAccess, Ontario Highway 53]
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: Ontario Highway 53
Triple: [Burford, Ontario, roadAccess, Ontario Highway 53]
Generated description
Ontario Highway 53 is a former provincial highway in southwestern Ontario that once served as an important east–west route connecting communities between Brantford and Hamilton.

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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6783a47d081909feed89b5b4017fb completed May 2, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3485e4bafc8190b09c53f0727c836c completed June 18, 2026, 11:57 p.m.
NEDg Description generation batch_6a3487730848819093ffdd72872b0131 completed June 19, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3487efeb248190b0d48dc5266c3927 completed June 19, 2026, 12:06 a.m.
Created at: April 29, 2026, 6:27 p.m.