Triple

T5182305
Position Surface form Disambiguated ID Type / Status
Subject Fort Larned E116948 entity
Predicate namedAfter P63 FINISHED
Object Larned, Kansas E526515 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: Larned, Kansas | Statement: [Fort Larned, namedAfter, Larned, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larned, Kansas
Context triple: [Fort Larned, namedAfter, Larned, Kansas]
  • A. Larned, Kansas chosen
    Larned, Kansas is a small city in central Kansas known as the gateway to the historic Fort Larned National Historic Site, a key 19th-century U.S. Army post on the Santa Fe Trail.
  • B. Lansing, Kansas
    Lansing, Kansas is a small city in Leavenworth County known for housing the Lansing Correctional Facility and serving as part of the greater Kansas City metropolitan area.
  • C. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
  • D. Ellsworth, Kansas
    Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
  • E. Leavenworth, Kansas
    Leavenworth, Kansas is a historic city on the Missouri River known as one of the oldest communities in Kansas and for its long association with major federal and military institutions.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799d50388190bf2b7dfdd90949e9 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc205d77c8190bcb9e7ce7782202b completed March 22, 2026, 10:18 a.m.
Created at: March 20, 2026, 1:46 p.m.