Triple

T10399388
Position Surface form Disambiguated ID Type / Status
Subject Ortler E245103 entity
Predicate nearSettlement P3883 FINISHED
Object Sulden
Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
E861128 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: Sulden | Statement: [Ortler, nearSettlement, Sulden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulden
Context triple: [Ortler, nearSettlement, Sulden]
  • A. Söll
    Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
  • B. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • C. Súr
    Súr was a Hungarian military leader who served as one of the commanders of the Magyar forces defeated by Otto I at the Battle of Lechfeld in 955.
  • D. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • E. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • 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: Sulden
Triple: [Ortler, nearSettlement, Sulden]
Generated description
Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sulden
Target entity description: Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • A. Söll
    Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
  • B. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • C. Súr
    Súr was a Hungarian military leader who served as one of the commanders of the Magyar forces defeated by Otto I at the Battle of Lechfeld in 955.
  • D. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • E. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d2e8488190b2bb8f8509903804 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbc759a08190be677bf5458af0c8 completed April 9, 2026, 7:19 p.m.
NEDg Description generation batch_69d81c40dc6081908cc186ee6cd0814e completed April 9, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d8277fbf0881908a1e16d6c07886e6 completed April 9, 2026, 10:26 p.m.
Created at: April 6, 2026, 12:07 p.m.