Triple

T3878529
Position Surface form Disambiguated ID Type / Status
Subject Golden, Colorado E92563 entity
Predicate river P165 FINISHED
Object Clear Creek E405535 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: Clear Creek | Statement: [Golden, Colorado, river, Clear Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clear Creek
Context triple: [Golden, Colorado, river, Clear Creek]
  • A. Clear Creek chosen
    Clear Creek is a mountain stream in Colorado that became a key corridor for early mining camps and settlements during the Colorado Gold Rush.
  • B. Clear Creek
    Clear Creek is a stream in Northern California that feeds into the Sacramento River and is known for its scenic canyon, salmon habitat, and recreational opportunities.
  • C. Clear Creek
    Clear Creek is a small unincorporated community located in Raleigh County, West Virginia.
  • D. Still Creek
    Still Creek is a small stream in eastern Pennsylvania that serves as a right-bank tributary of the Little Schuylkill River.
  • E. Spring Creek
    Spring Creek is a residential community in northeastern Nevada known for its proximity to Elko and its scenic high-desert, mountain-framed setting.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c757f5a2f4819081f5bde51e30641a completed March 28, 2026, 4:24 a.m.
Created at: March 9, 2026, 3:20 p.m.