Triple

T20644988
Position Surface form Disambiguated ID Type / Status
Subject Ältasjön E507331 entity
Predicate outflow P967 FINISHED
Object Sicklaån NE NERFINISHED

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: Sicklaån | Statement: [Ältasjön, outflow, Sicklaån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sicklaån
Context triple: [Ältasjön, outflow, Sicklaån]
  • A. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • B. Sickla chosen
    Sickla is a district in the Stockholm urban area known for its large shopping and business center, modern residential areas, and redeveloped industrial waterfront.
  • C. Satka
    Satka is an industrial town in Russia’s Chelyabinsk Oblast, known for its magnesite mining and location in the southern Ural region.
  • D. Tealing
    Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.