Triple

T17713764
Position Surface form Disambiguated ID Type / Status
Subject White Guard E441634 entity
Predicate nativeLabel P657 FINISHED
Object Skyddskår 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: Skyddskår | Statement: [White Guard, nativeLabel, Skyddskår]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyddskår
Context triple: [White Guard, nativeLabel, Skyddskår]
  • A. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • B. Skyss
    Skyss is the public transport authority for Vestland county in Norway, responsible for coordinating bus, light rail, and some ferry services in the Bergen region.
  • C. Aavarana
    Aavarana is a controversial Kannada novel by S. L. Bhyrappa that critically explores religious history, cultural identity, and the politics of historiography in India.
  • D. Hemvärnet chosen
    Hemvärnet is Sweden’s volunteer military home guard force responsible for local defense, protection of vital infrastructure, and support to civil society in crises.
  • E. Skjetten
    Skjetten is a suburban residential area in Lillestrøm municipality in Viken county, Norway, located northeast of Oslo.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729cebd08190872be96a26d0f7ce completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:06 a.m.