Triple

T6484349
Position Surface form Disambiguated ID Type / Status
Subject River Tees E146470 entity
Predicate hasWaterfall P13549 FINISHED
Object Low Force E597133 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: Low Force | Statement: [River Tees, hasWaterfall, Low Force]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low Force
Context triple: [River Tees, hasWaterfall, Low Force]
  • A. Low Force chosen
    Low Force is a picturesque series of low waterfalls and rapids on the River Tees in northern England, popular with walkers and nature enthusiasts.
  • B. Low Mass
    Low Mass is a simpler, typically quieter form of the traditional Latin Tridentine Mass celebrated by a priest with minimal ceremonial and usually without music.
  • C. Low
    Low is an American indie rock band from Duluth, Minnesota, known for their minimalist, slow-tempo sound and hushed vocal harmonies often associated with the "slowcore" genre.
  • D. LOWW
    LOWW is the ICAO airport code for Vienna International Airport, the main international gateway serving Vienna, Austria.
  • E. Low family
    The Low family is a prominent American mercantile and political dynasty historically linked to New York commerce and intermarried with influential families such as the Delanos.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd88d7c8190a98b7a48d49280c3 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:52 p.m.