Triple

T4219230
Position Surface form Disambiguated ID Type / Status
Subject European route E16 E94297 entity
Predicate runsThrough P416 FINISHED
Object Voss E201638 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: Voss | Statement: [European route E16, runsThrough, Voss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voss
Context triple: [European route E16, runsThrough, Voss]
  • A. Voss chosen
    Voss is a municipality in western Norway known for its scenic landscapes, outdoor sports, and traditional cultural festivals.
  • B. Voss
    Voss is a premium Norwegian bottled water brand known for its minimalist cylindrical glass bottles and upscale positioning.
  • C. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • D. Isak
    Isak is a given name, commonly used in Scandinavian and other cultures, that corresponds to the biblical name Isaac.
  • E. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0b2ee08190930600e1e802b325 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963d3bd8819086465701f4c6adf5 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.