Triple

T18216776
Position Surface form Disambiguated ID Type / Status
Subject Vanylven Municipality E436181 entity
Predicate hasSettlement P1068 FINISHED
Object Åram
Åram is a small village in Vanylven Municipality in Møre og Romsdal county, Norway, known for its coastal setting and rural character.
E1312083 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: Åram | Statement: [Vanylven Municipality, hasSettlement, Åram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åram
Context triple: [Vanylven Municipality, hasSettlement, Åram]
  • A. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • B. Ayrum
    Ayrum is a small town in northeastern Armenia known for its location near the Georgian border and its role as a local transport and trade hub.
  • C. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • D. Aramatle-qo
    Aramatle-qo was a Kushite king of the Kingdom of Napata in Nubia, known from his royal burial at the pyramid field of Nuri.
  • E. d'Aramitz
    d'Aramitz is a French noble family name historically associated with Gascony and known from figures such as the musketeer Henri d'Aramitz.
  • 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: Åram
Triple: [Vanylven Municipality, hasSettlement, Åram]
Generated description
Åram is a small village in Vanylven Municipality in Møre og Romsdal county, Norway, known for its coastal setting and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Åram
Target entity description: Åram is a small village in Vanylven Municipality in Møre og Romsdal county, Norway, known for its coastal setting and rural character.
  • A. Aramm
    Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
  • B. Ayrum
    Ayrum is a small town in northeastern Armenia known for its location near the Georgian border and its role as a local transport and trade hub.
  • C. Arman
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • D. Aramatle-qo
    Aramatle-qo was a Kushite king of the Kingdom of Napata in Nubia, known from his royal burial at the pyramid field of Nuri.
  • E. d'Aramitz
    d'Aramitz is a French noble family name historically associated with Gascony and known from figures such as the musketeer Henri d'Aramitz.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f198fd48190894a7b7262148935 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039febd13881908423ee008d3ba1c3 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a088b4a0819093720af0308060ee completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.