Triple

T10445353
Position Surface form Disambiguated ID Type / Status
Subject province of Östergötland E246271 entity
Predicate hasTown P847 FINISHED
Object Motala E459653 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: Motala | Statement: [province of Östergötland, hasTown, Motala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motala
Context triple: [province of Östergötland, hasTown, Motala]
  • A. Motala chosen
    Motala is a town in southern Sweden known for its location on Lake Vättern and its historic role as an industrial and canal hub.
  • B. Sätra
    Sätra is a suburban district in southwestern Stockholm, Sweden, known for its residential areas and proximity to Lake Mälaren.
  • C. Nykvarn
    Nykvarn is a small locality in eastern Sweden that serves as the administrative and population center of Nykvarn Municipality in Stockholm County.
  • D. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:16 p.m.