Triple

T10445522
Position Surface form Disambiguated ID Type / Status
Subject Stångån E246275 entity
Predicate hasMouth P1008 FINISHED
Object Kinda Canal E864239 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: Kinda Canal | Statement: [Stångån, hasMouth, Kinda Canal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinda Canal
Context triple: [Stångån, hasMouth, Kinda Canal]
  • A. Kinda Canal chosen
    Kinda Canal is a historic Swedish waterway in Östergötland that connects a series of lakes and rivers, serving both recreational boating and tourism.
  • B. Feeder Canal
    The Feeder Canal is an artificial waterway in Bristol, England, that connects the River Avon to Bristol Harbour and helps regulate water levels for the city’s docks.
  • C. Surplus Canal
    Surplus Canal is a man-made waterway in Utah designed to divert excess flow from the Jordan River for flood control and irrigation.
  • D. The Stone Canal
    The Stone Canal is a science fiction novel by Ken MacLeod that explores artificial intelligence, political ideology, and posthuman society across intertwined timelines.
  • E. Garagum Canal
    The Garagum Canal is a major irrigation and water-supply canal in Turkmenistan that diverts water from the Amu Darya River across the Karakum Desert.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:16 p.m.