Triple

T15332011
Position Surface form Disambiguated ID Type / Status
Subject Eid E366557 entity
Predicate hasSettlement P1068 FINISHED
Object Hjelle
Hjelle is a small village in the municipality of Eid in western Norway, known for its scenic fjordside setting.
E1156011 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: Hjelle | Statement: [Eid, hasSettlement, Hjelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjelle
Context triple: [Eid, hasSettlement, Hjelle]
  • A. Fjell
    Fjell was a former municipality in Vestland county, Norway, encompassing coastal and island communities west of Bergen.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • D. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • E. Lifjell
    Lifjell is a mountainous plateau and popular outdoor recreation area in Telemark, Norway, known for its hiking, skiing, and scenic alpine landscapes.
  • 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: Hjelle
Triple: [Eid, hasSettlement, Hjelle]
Generated description
Hjelle is a small village in the municipality of Eid in western Norway, known for its scenic fjordside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hjelle
Target entity description: Hjelle is a small village in the municipality of Eid in western Norway, known for its scenic fjordside setting.
  • A. Fjell
    Fjell was a former municipality in Vestland county, Norway, encompassing coastal and island communities west of Bergen.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • D. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • E. Lifjell
    Lifjell is a mountainous plateau and popular outdoor recreation area in Telemark, Norway, known for its hiking, skiing, and scenic alpine landscapes.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a67adf88190bbe15040761d235e completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1b4c13e08190b2ccee59da02d0ae completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bdb39b481908f0b1df595837bc4 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:17 a.m.