Triple

T15332104
Position Surface form Disambiguated ID Type / Status
Subject Stryn (town) E366559 entity
Predicate distanceTo P350 FINISHED
Object Olden
Olden is a small village in Stryn Municipality in Vestland county, Norway, known as a gateway to the Nordfjord region and nearby glaciers.
 E1149874 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: Olden | Statement: [Stryn (town), distanceTo, Olden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olden
Context triple: [Stryn (town), distanceTo, Olden]
  • A. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • B. Gamla
    Gamla was an ancient Jewish stronghold on the Golan Heights, known for its dramatic siege and destruction by Roman forces during the First Jewish–Roman War.
  • C. Oude
    Oude is an alternative name for Oudh, a historic region in northern India known for its rich cultural heritage and former princely state status under British rule.
  • D. Oldambt
    Oldambt is a municipality in the northeast of the Netherlands, known for its reclaimed lake Oldambtmeer and its agricultural landscapes.
  • E. Alte
    Alte is a traditional village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and preserved rural character.
  • 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: Olden
Triple: [Stryn (town), distanceTo, Olden]
Generated description
Olden is a small village in Stryn Municipality in Vestland county, Norway, known as a gateway to the Nordfjord region and nearby glaciers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olden
Target entity description: Olden is a small village in Stryn Municipality in Vestland county, Norway, known as a gateway to the Nordfjord region and nearby glaciers.
  • A. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • B. Gamla
    Gamla was an ancient Jewish stronghold on the Golan Heights, known for its dramatic siege and destruction by Roman forces during the First Jewish–Roman War.
  • C. Oude
    Oude is an alternative name for Oudh, a historic region in northern India known for its rich cultural heritage and former princely state status under British rule.
  • D. Oldambt
    Oldambt is a municipality in the northeast of the Netherlands, known for its reclaimed lake Oldambtmeer and its agricultural landscapes.
  • E. Alte
    Alte is a traditional village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and preserved rural character.
  • 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_69fef8b2ea5c8190b6e5f3fcbd7c265f completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa54397c81909c9bfb8c0553b3d1 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb04d7e4819084ac10e05dccb3e3 completed May 9, 2026, 9:14 a.m.
Created at: April 10, 2026, 3:17 a.m.