Triple

T5010697
Position Surface form Disambiguated ID Type / Status
Subject Scranton–Wilkes-Barre metropolitan area E112610 entity
Predicate containsBorough P300 FINISHED
Object Kingston E482941 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: Kingston | Statement: [Scranton–Wilkes-Barre metropolitan area, containsBorough, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston
Context triple: [Scranton–Wilkes-Barre metropolitan area, containsBorough, Kingston]
  • A. Kingston
    Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
  • B. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • C. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • D. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • E. Kingston chosen
    Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730bdb208190bebd7f22839ab6e5 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9269e72881908ea49a77a83b8958 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.