Triple

T4584889
Position Surface form Disambiguated ID Type / Status
Subject Hafjell E101942 entity
Predicate nearbySettlement P350 FINISHED
Object Hafjell village
Hafjell village is a small Norwegian settlement known primarily for its proximity to the Hafjell ski resort and the Lillehammer Olympic region.
E454641 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: Hafjell village | Statement: [Hafjell, nearbySettlement, Hafjell village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hafjell village
Context triple: [Hafjell, nearbySettlement, Hafjell village]
  • A. Oppdal
    Oppdal is a Norwegian mountain municipality and popular ski and outdoor recreation destination in central Norway.
  • B. Hemsedal
    Hemsedal is a Norwegian mountain village and ski resort area renowned for its alpine terrain and winter sports tourism.
  • C. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • D. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • E. Håvik
    Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
  • 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: Hafjell village
Triple: [Hafjell, nearbySettlement, Hafjell village]
Generated description
Hafjell village is a small Norwegian settlement known primarily for its proximity to the Hafjell ski resort and the Lillehammer Olympic region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hafjell village
Target entity description: Hafjell village is a small Norwegian settlement known primarily for its proximity to the Hafjell ski resort and the Lillehammer Olympic region.
  • A. Oppdal
    Oppdal is a Norwegian mountain municipality and popular ski and outdoor recreation destination in central Norway.
  • B. Hemsedal
    Hemsedal is a Norwegian mountain village and ski resort area renowned for its alpine terrain and winter sports tourism.
  • C. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • D. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • E. Håvik
    Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59056bb48190ba1e0b5beda9bdc4 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0a18c90819083953e78fc6de8db completed March 21, 2026, 12:04 a.m.
NEDg Description generation batch_69bde2520f248190b746a322a3ec60bc completed March 21, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bde2aaf654819093e1cb3a533fead1 completed March 21, 2026, 12:13 a.m.
Created at: March 20, 2026, 1:10 p.m.