Triple

T8265960
Position Surface form Disambiguated ID Type / Status
Subject Northern Indo-Aryan languages E193301 entity
Predicate includesLanguage P2177 FINISHED
Object Brokskat E318538 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: Brokskat | Statement: [Northern Indo-Aryan languages, includesLanguage, Brokskat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brokskat
Context triple: [Northern Indo-Aryan languages, includesLanguage, Brokskat]
  • A. Brokskat chosen
    Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
  • B. Skibotn
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • C. Barkarby
    Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
  • D. Kattavia
    Kattavia is a small traditional village located at the southern tip of the Greek island of Rhodes, known for its quiet atmosphere and proximity to popular windsurfing beaches.
  • E. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:50 p.m.