Triple

T14881664
Position Surface form Disambiguated ID Type / Status
Subject Etnedal municipality E350014 entity
Predicate hasDemonym P191 FINISHED
Object Etnedøl
Etnedøl is the Norwegian term for a resident or native of Etnedal municipality in Innlandet county, Norway.
E1125716 NE FINISHED

How this triple was built (4 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: Etnedøl | Statement: [Etnedal municipality, hasDemonym, Etnedøl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etnedøl
Context triple: [Etnedal municipality, hasDemonym, Etnedøl]
  • A. Qabiha
    Qabiha was a consort of the Abbasid caliph al-Mu'tamid, associated with the 9th-century Abbasid court.
  • B. Nezvěstice
    Nezvěstice is a village and municipality in the Plzeň Region of the Czech Republic, known for its location in the Úslava River valley.
  • C. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • D. Kultorvet
    Kultorvet is a historic public square and marketplace in central Copenhagen, Denmark, known for its shops, cafés, and pedestrian-friendly urban space.
  • E. Neszmély
    Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Etnedøl
Triple: [Etnedal municipality, hasDemonym, Etnedøl]
Generated description
Etnedøl is the Norwegian term for a resident or native of Etnedal municipality in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Etnedøl
Target entity description: Etnedøl is the Norwegian term for a resident or native of Etnedal municipality in Innlandet county, Norway.
  • A. Qabiha
    Qabiha was a consort of the Abbasid caliph al-Mu'tamid, associated with the 9th-century Abbasid court.
  • B. Nezvěstice
    Nezvěstice is a village and municipality in the Plzeň Region of the Czech Republic, known for its location in the Úslava River valley.
  • C. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • D. Kultorvet
    Kultorvet is a historic public square and marketplace in central Copenhagen, Denmark, known for its shops, cafés, and pedestrian-friendly urban space.
  • E. Neszmély
    Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
  • F. None of above. chosen

Provenance (5 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b591f3c81909ea8a9217d96e0d2 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c55d6b88190b0f57009be962194 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e56e7e88190b70497e168d707de completed May 8, 2026, 11:14 p.m.
Created at: April 10, 2026, 1:56 a.m.