Triple

T6432023
Position Surface form Disambiguated ID Type / Status
Subject Kenesaw E129799 entity
Predicate hasNameElement P3097 FINISHED
Object Landis E127213 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: Landis | Statement: [Kenesaw, hasNameElement, Landis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landis
Context triple: [Kenesaw, hasNameElement, Landis]
  • A. Landis chosen
    Landis is a surname most famously associated with Kenesaw Mountain Landis, the first Commissioner of Major League Baseball known for his role in restoring public confidence after the Black Sox Scandal.
  • B. Kahler Asten
    Kahler Asten is a prominent mountain in the Rothaar Mountains of Germany, known for its weather station, hiking trails, and panoramic views.
  • C. Boardman
    Boardman is a major suburban community in northeastern Ohio, known for its residential neighborhoods, commercial centers, and role as a key part of the Youngstown metropolitan region.
  • D. Espee
    Espee is a common nickname for the historic Southern Pacific Railroad, a major American railroad that operated in the western United States.
  • E. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693cadf08190aca84888a3440b3d completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ec681881909c75a55b33c09eb6 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:44 p.m.