Triple

T21091298
Position Surface form Disambiguated ID Type / Status
Subject Snättringe E519642 entity
Predicate locatedNear P294 FINISHED
Object Segeltorp 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: Segeltorp | Statement: [Snättringe, locatedNear, Segeltorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segeltorp
Context triple: [Snättringe, locatedNear, Segeltorp]
  • A. Segeltorp chosen
    Segeltorp is a suburban district in the southern part of the Stockholm urban area, located within Huddinge Municipality in Sweden.
  • B. Seiling
    Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
  • C. Sundlandet
    Sundlandet is a locality in the Trøndelag region of Norway that was formerly part of the now-defunct municipality of Rissa.
  • D. Sollentuna
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • E. Hanevik
    Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ea7f881909db83bf6961b41ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.