Triple

T9605211
Position Surface form Disambiguated ID Type / Status
Subject Sylt E231952 entity
Predicate hasSettlement P1068 FINISHED
Object Rantum
Rantum is a small coastal village on the German North Sea island of Sylt, known for its dunes, beaches, and surrounding nature reserves.
 E810777 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: Rantum | Statement: [Sylt, hasSettlement, Rantum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rantum
Context triple: [Sylt, hasSettlement, Rantum]
  • A. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • B. Kattang
    Kattang is an Aboriginal Australian language traditionally spoken by the Worimi people of New South Wales.
  • C. Pangnirtung
    Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
  • D. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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: Rantum
Triple: [Sylt, hasSettlement, Rantum]
Generated description
Rantum is a small coastal village on the German North Sea island of Sylt, known for its dunes, beaches, and surrounding nature reserves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rantum
Target entity description: Rantum is a small coastal village on the German North Sea island of Sylt, known for its dunes, beaches, and surrounding nature reserves.
  • A. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • B. Kattang
    Kattang is an Aboriginal Australian language traditionally spoken by the Worimi people of New South Wales.
  • C. Pangnirtung
    Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
  • D. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5e4a7c8190830b5ad9762ece46 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
NEDg Description generation batch_69d17a732628819098e50a6ecf47b98c completed April 4, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69d17b16d8008190aa9bc71d470be4e5 completed April 4, 2026, 8:56 p.m.
Created at: March 30, 2026, 8:08 p.m.