Triple

T17702907
Position Surface form Disambiguated ID Type / Status
Subject Red Settlement E441353 entity
Predicate hasEnglishName P3437 FINISHED
Object Red Settlement NE NERFINISHED

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: Red Settlement | Statement: [Red Settlement, hasEnglishName, Red Settlement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Settlement
Context triple: [Red Settlement, hasEnglishName, Red Settlement]
  • A. Red Settlement chosen
    Red Settlement is the English name for Krasnaya Sloboda, a locality whose title translates from Russian as “Red Settlement” or “Beautiful Settlement.”
  • B. Crosbyton
    Crosbyton is a small rural city in West Texas that serves as the administrative and commercial hub of Crosby County.
  • C. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • D. White Settlement, Texas
    White Settlement, Texas is a small suburban city in the western part of the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Fort Worth.
  • E. Springtown
    Springtown is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.