Triple

T17453517
Position Surface form Disambiguated ID Type / Status
Subject Tweez E424972 entity
Predicate hasTrack P3284 FINISHED
Object “Kent” 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: “Kent” | Statement: [Tweez, hasTrack, “Kent”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Kent”
Context triple: [Tweez, hasTrack, “Kent”]
  • A. Oare, Kent
    Oare, Kent is a small village in southeast England situated near Faversham on the north Kent coast.
  • B. Deal, Kent
    Deal, Kent is a historic seaside town on the English Channel in southeast England, known for its maritime heritage, pebble beach, and Tudor-era Deal Castle.
  • C. Stone, Kent
    Stone, Kent is a village and civil parish in the Borough of Dartford in Kent, England, known for its historic church and proximity to the River Thames and major transport links.
  • D. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • E. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451406c748190b5ac6aacff7a3cc7 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.