Triple

T9680314
Position Surface form Disambiguated ID Type / Status
Subject Southern Alberta E234261 entity
Predicate contains P35 FINISHED
Object Cypress County E534463 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: Cypress County | Statement: [Southern Alberta, contains, Cypress County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cypress County
Context triple: [Southern Alberta, contains, Cypress County]
  • A. Cypress County chosen
    Cypress County is a rural municipal district in southeastern Alberta, Canada, surrounding the city of Medicine Hat and encompassing a mix of agricultural land, small communities, and natural areas.
  • B. Ector County
    Ector County is a county in western Texas best known for encompassing the city of Odessa and its significant role in the Permian Basin oil industry.
  • C. San Jacinto County
    San Jacinto County is a largely rural county in East Texas known for its forests, lakes, and small communities within the Greater Houston region.
  • D. Chambers County
    Chambers County is a county located in the eastern part of the U.S. state of Alabama, known for its rural communities and proximity to the Georgia state line.
  • E. Gillespie County
    Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
  • 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_69de83df5bf881908d775354ace05e66 completed April 14, 2026, 6:13 p.m.
Created at: March 30, 2026, 8:16 p.m.