Triple

T9096513
Position Surface form Disambiguated ID Type / Status
Subject Zala River E218034 entity
Predicate flowsThrough P225 FINISHED
Object Vas County E412769 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: Vas County | Statement: [Zala River, flowsThrough, Vas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vas County
Context triple: [Zala River, flowsThrough, Vas County]
  • A. Vas County chosen
    Vas County is an administrative region in western Hungary known for its historic towns, thermal spas, and proximity to the Austrian and Slovenian borders.
  • B. McKenzie County
    McKenzie County is a sparsely populated county in western North Dakota known for its oil production, ranching, and access to outdoor recreation along Lake Sakakawea and the Badlands.
  • C. Dawson County
    Dawson County is a rural county in the western part of Texas known for its agriculture and oil production.
  • D. Dawson County
    Dawson County is a county in north-central Georgia, United States, known for its location in the Appalachian foothills and proximity to outdoor recreation areas such as Amicalola Falls State Park.
  • E. Rabun County
    Rabun County is a mountainous county in northeastern Georgia known for its scenic landscapes, outdoor recreation, and location in the southern Appalachian region.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0180f70b88190a2d3dc49f32f0c2e completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.