Triple

T38567396
Position Surface form Disambiguated ID Type / Status
Subject Manitoba Highway 10 E928261 entity
Predicate hasJunctionWith P1018 FINISHED
Object Manitoba Highway 20
Manitoba Highway 20 is a provincial highway in Manitoba, Canada, that serves as a regional route connecting several rural communities in the province’s Interlake and Parkland areas.
 E2283349 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: Manitoba Highway 20 | Statement: [Manitoba Highway 10, hasJunctionWith, Manitoba Highway 20]
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: Manitoba Highway 20
Triple: [Manitoba Highway 10, hasJunctionWith, Manitoba Highway 20]
Generated description
Manitoba Highway 20 is a provincial highway in Manitoba, Canada, that serves as a regional route connecting several rural communities in the province’s Interlake and Parkland areas.

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_69f76eb8d1808190a588af29d8b266d6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd90b04b0819094913c584479f107 completed May 7, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a425186f58c8190bb4271084a1adf2b completed June 29, 2026, 11:05 a.m.
NEDg Description generation batch_6a4252588d5881908045cff906949ad8 completed June 29, 2026, 11:09 a.m.
NED2 Entity disambiguation (via description) batch_6a4252905da481908c3a79d88f00204e completed June 29, 2026, 11:10 a.m.
Created at: May 3, 2026, 4:32 p.m.