Triple

T18327028
Position Surface form Disambiguated ID Type / Status
Subject Vamma power station E439037 entity
Predicate locatedNear P294 FINISHED
Object Askim 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: Askim | Statement: [Vamma power station, locatedNear, Askim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askim
Context triple: [Vamma power station, locatedNear, Askim]
  • A. Askim chosen
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • B. Ashaki
    Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
  • C. Asimjeeg
    Asimjeeg is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • D. Agim
    Agim is a masculine given name commonly used in Albanian-speaking regions.
  • E. Arikem
    Arikem is a primary subgroup of the Tupian language family, comprising several indigenous languages once spoken in the Amazon region of Brazil.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.