Triple

T14725046
Position Surface form Disambiguated ID Type / Status
Subject Søndre Land E345916 entity
Predicate bordersWith P224 FINISHED
Object Etnedal E433527 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: Etnedal | Statement: [Søndre Land, bordersWith, Etnedal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etnedal
Context triple: [Søndre Land, bordersWith, Etnedal]
  • A. Etnedal chosen
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • B. Etne
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • C. Oreolais
    Oreolais is a small genus of African warbler-like birds in the family Cisticolidae, typically found in forest and woodland habitats.
  • D. Avar
    Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
  • E. Rasis
    Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.