Triple

T17105821
Position Surface form Disambiguated ID Type / Status
Subject Kingsbury E415096 entity
Predicate adjacentTo P224 FINISHED
Object Kenton E106707 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: Kenton | Statement: [Kingsbury, adjacentTo, Kenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenton
Context triple: [Kingsbury, adjacentTo, Kenton]
  • A. Kenton chosen
    Kenton is a suburban district in northwest London known for its residential character and local shopping streets.
  • B. Garfield Heights
    Garfield Heights is a suburban city located southeast of downtown Cleveland in northeastern Ohio.
  • C. Kenton, United States
    Kenton is a small town in the United States known, among other things, for its international twinning relationship with Neuilly-sur-Seine in France.
  • D. Baldwinne
    Baldwinne is an alternative historical or variant spelling of the given name Baldwin, which is of Germanic origin and borne by several medieval European nobles and rulers.
  • E. Richmond Heights
    Richmond Heights is a suburban city located in northeastern Ohio, United States, forming part of the Greater Cleveland metropolitan area.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2683fc81908af2df9012addecb completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a019540819083ce6100b24f8cfb completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.