Triple

T7840829
Position Surface form Disambiguated ID Type / Status
Subject Western Oceanic E181797 entity
Predicate hasLanguage P15 FINISHED
Object Kove E619351 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: Kove | Statement: [Western Oceanic, hasLanguage, Kove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kove
Context triple: [Western Oceanic, hasLanguage, Kove]
  • A. Kove chosen
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • B. Koval
    Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
  • C. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • D. Kopervik
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • E. Kostava
    Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.