Triple

T15885049
Position Surface form Disambiguated ID Type / Status
Subject Lærdal E385170 entity
Predicate hasSettlement P1068 FINISHED
Object Tønjum
Tønjum is a small village in Lærdal Municipality in Vestland county, Norway, situated in the Lærdal valley near the Lærdalselvi river.
E1291576 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: Tønjum | Statement: [Lærdal, hasSettlement, Tønjum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tønjum
Context triple: [Lærdal, hasSettlement, Tønjum]
  • A. Tjørhom
    Tjørhom is a small village in southwestern Norway known for its mountainous landscape and proximity to popular skiing and outdoor recreation areas.
  • B. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • C. Tørla
    Tørla is a small island located within Ålesund Municipality in Møre og Romsdal county, Norway.
  • D. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • E. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • 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: Tønjum
Triple: [Lærdal, hasSettlement, Tønjum]
Generated description
Tønjum is a small village in Lærdal Municipality in Vestland county, Norway, situated in the Lærdal valley near the Lærdalselvi river.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tønjum
Target entity description: Tønjum is a small village in Lærdal Municipality in Vestland county, Norway, situated in the Lærdal valley near the Lærdalselvi river.
  • A. Tjørhom
    Tjørhom is a small village in southwestern Norway known for its mountainous landscape and proximity to popular skiing and outdoor recreation areas.
  • B. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • C. Tørla
    Tørla is a small island located within Ålesund Municipality in Møre og Romsdal county, Norway.
  • D. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • E. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a030c468b508190a1d683ff354c235c completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030ce6e0248190854acf6ad772cb08 completed May 12, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a030d4d117c8190a115b86df7990087 completed May 12, 2026, 11:21 a.m.
Created at: April 10, 2026, 4:51 a.m.