Triple

T18159800
Position Surface form Disambiguated ID Type / Status
Subject Pocheon E434726 entity
Predicate hasAttraction P105 FINISHED
Object Hantan River 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: Hantan River | Statement: [Pocheon, hasAttraction, Hantan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hantan River
Context triple: [Pocheon, hasAttraction, Hantan River]
  • A. Hantan River chosen
    The Hantan River is a major river in South Korea and North Korea known for its scenic basalt cliffs and canyons formed by ancient volcanic activity.
  • B. Sassafras River
    The Sassafras River is a tidal tributary of the Chesapeake Bay in Maryland known for its scenic shorelines, boating, and recreational fishing.
  • C. Taghkanic Creek
    Taghkanic Creek is a stream in Columbia County, New York, that lends its name to the nearby town of Taghkanic.
  • D. Buyant River
    The Buyant River is a river in western Mongolia that flows through mountainous steppe landscapes and supports local ecosystems and settlements in the region.
  • E. Ohanapecosh River
    The Ohanapecosh River is a clear, glacier-fed river in Mount Rainier National Park in Washington State, known for its deep blue pools, waterfalls, and surrounding old-growth forest.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec0e0388190af11ac167411da96 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.