Triple

T17900791
Position Surface form Disambiguated ID Type / Status
Subject Forest County, Pennsylvania E447570 entity
Predicate contains P35 FINISHED
Object Clarion River E332796 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: Clarion River | Statement: [Forest County, Pennsylvania, contains, Clarion River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarion River
Context triple: [Forest County, Pennsylvania, contains, Clarion River]
  • A. Clarion River chosen
    The Clarion River is a scenic waterway in western Pennsylvania known for its forested surroundings, outdoor recreation opportunities, and designation as part of the National Wild and Scenic Rivers System.
  • B. French Creek
    French Creek is a significant stream in southeastern Pennsylvania known for its scenic watershed, recreational opportunities, and ecological importance.
  • C. French Creek
    French Creek is a significant tributary stream in northwestern Pennsylvania and western New York known for its rich biodiversity and contribution to the Allegheny River watershed.
  • D. West Branch
    West Branch is a small settlement best known for historic sites like the West Branch Schoolhouse and its rural community character.
  • E. Lutter River
    The Lutter River is a small watercourse in North Rhine-Westphalia, Germany, known for flowing through the city of Bielefeld and contributing to its local landscape and ecology.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8321bc8190a3f679d96323cbbb completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef6cf19c8190a00f26597471c493 completed May 16, 2026, 10:27 p.m.
Created at: April 10, 2026, 10:19 a.m.