Triple

T15984509
Position Surface form Disambiguated ID Type / Status
Subject Bloomsburg, Pennsylvania E387657 entity
Predicate hasRiverFeature P1094 FINISHED
Object Fishing Creek 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: Fishing Creek | Statement: [Bloomsburg, Pennsylvania, hasRiverFeature, Fishing Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fishing Creek
Context triple: [Bloomsburg, Pennsylvania, hasRiverFeature, Fishing Creek]
  • A. Fishing Creek
    Fishing Creek is a small unincorporated community and waterway area in Cape May County, New Jersey, known for its coastal setting and residential character within Lower Township.
  • B. Fishing Creek chosen
    Fishing Creek is a tributary stream in northeastern Pennsylvania known for flowing through rural Columbia County and supporting local recreation and wildlife habitats.
  • C. Falling Creek
    Falling Creek is a smaller stream in Virginia that feeds into the Appomattox River as one of its tributaries.
  • D. Well Creek
    Well Creek is a waterway associated with the locality of Upwell in England, forming part of the region’s drainage and navigation network.
  • E. Blue Creek
    Blue Creek is a recreational area located on the shores of Oologah Lake in Oklahoma, offering outdoor activities such as boating, fishing, and camping.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15757a3548190900de1962308f6b8 completed April 16, 2026, 9:40 p.m.
Created at: April 10, 2026, 4:54 a.m.