Triple

T11615785
Position Surface form Disambiguated ID Type / Status
Subject Haldenvassdraget E275502 entity
Predicate hasPart P35 FINISHED
Object Setten
Setten is a lake in southeastern Norway known for its forested surroundings, islands, and recreational opportunities such as fishing and boating.
 E935617 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: Setten | Statement: [Haldenvassdraget, hasPart, Setten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Setten
Context triple: [Haldenvassdraget, hasPart, Setten]
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Bubión
    Bubión is a small, picturesque village in Spain’s Alpujarras region, known for its traditional whitewashed houses and scenic setting on the southern slopes of the Sierra Nevada.
  • C. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • D. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • E. Basto
    Basto is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, often slightly effervescent white wines from indigenous grape varieties.
  • 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: Setten
Triple: [Haldenvassdraget, hasPart, Setten]
Generated description
Setten is a lake in southeastern Norway known for its forested surroundings, islands, and recreational opportunities such as fishing and boating.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Setten
Target entity description: Setten is a lake in southeastern Norway known for its forested surroundings, islands, and recreational opportunities such as fishing and boating.
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Bubión
    Bubión is a small, picturesque village in Spain’s Alpujarras region, known for its traditional whitewashed houses and scenic setting on the southern slopes of the Sierra Nevada.
  • C. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • D. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • E. Basto
    Basto is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, often slightly effervescent white wines from indigenous grape varieties.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84924a0819084c43aeb7c57ac10 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af972e90819096568e7ec2a34059 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69e8b0aa21e0819090157b11309a84f6 completed April 22, 2026, 11:27 a.m.
Created at: April 8, 2026, 9:38 p.m.