Triple

T21258348
Position Surface form Disambiguated ID Type / Status
Subject Oslo East E523927 entity
Predicate includesNeighborhood P4813 FINISHED
Object Alna 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: Alna | Statement: [Oslo East, includesNeighborhood, Alna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alna
Context triple: [Oslo East, includesNeighborhood, Alna]
  • A. Alna chosen
    Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
  • B. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • C. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • D. Molvik
    Molvik is a minor, somewhat eccentric character in Henrik Ibsen’s play *The Wild Duck*, contributing to the drama’s exploration of illusion and reality.
  • E. Hollum
    Hollum is a village on the Dutch Wadden Sea island of Ameland, known for its historic lighthouse, traditional architecture, and coastal setting.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.