Triple

T9680544
Position Surface form Disambiguated ID Type / Status
Subject Division No. 3, Alberta E234266 entity
Predicate hasSettlement P1068 FINISHED
Object Glenwood E693774 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: Glenwood | Statement: [Division No. 3, Alberta, hasSettlement, Glenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenwood
Context triple: [Division No. 3, Alberta, hasSettlement, Glenwood]
  • A. Glenwood chosen
    Glenwood is a small rural village located within Cardston County in southern Alberta, Canada.
  • B. Glenwood
    Glenwood is a small city in southwestern Iowa known as the county seat of Mills County and its historic downtown and community events.
  • C. Gunnison Valley
    Gunnison Valley is a scenic region in western Colorado known for its rugged Rocky Mountain landscapes, outdoor recreation, and small mountain communities such as Crested Butte.
  • D. Beaver Creek
    Beaver Creek is a tributary stream in northwestern Oregon that feeds into the Nestucca River within the coastal watershed.
  • E. Beaver Creek
    Beaver Creek is a stream in central Arizona that flows through the Verde Valley, supporting local wildlife and recreation before joining the Verde River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a3d77c48190b7fcde4708ca3811 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.