Triple

T20137658
Position Surface form Disambiguated ID Type / Status
Subject Harju maakond E491063 entity
Predicate contains P35 FINISHED
Object Prangli 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: Prangli | Statement: [Harju maakond, contains, Prangli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prangli
Context triple: [Harju maakond, contains, Prangli]
  • A. Prangli chosen
    Prangli is a small inhabited island in the Gulf of Finland, off the northern coast of Estonia, known for its traditional fishing village and scenic natural landscapes.
  • B. Prangins
    Prangins is a municipality in the canton of Vaud in western Switzerland, known for its historic village and the Château de Prangins, which houses part of the Swiss National Museum.
  • C. Barangoni
    Barangoni is a locality within Nigeria’s Federal Capital Territory, situated under the jurisdiction of Bwari Area Council.
  • D. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • E. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.