Triple

T20288316
Position Surface form Disambiguated ID Type / Status
Subject Zillertal Alps E509948 entity
Predicate hasPeak P8205 FINISHED
Object Hochferner
Hochferner is a mountain peak in the Zillertal Alps, part of the Central Eastern Alps on the border between Austria and Italy.
 E1422347 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: Hochferner | Statement: [Zillertal Alps, hasPeak, Hochferner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hochferner
Context triple: [Zillertal Alps, hasPeak, Hochferner]
  • A. Windachferner
    Windachferner is a glacier in the Stubai Alps of Tyrol, Austria, forming part of the larger Stubai Glacier ski and alpine area.
  • B. Rinderberg
    Rinderberg is a mountain and ski area in the Swiss Alps, known for its winter sports facilities and scenic alpine views.
  • C. Hohe
    Hohe is an alternative name for the Assiniboine language, a Siouan language traditionally spoken by the Assiniboine people of North America.
  • D. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • E. Hochkrimml
    Hochkrimml is a high-altitude alpine village and ski area in the Austrian Alps, known for its slopes, winter sports facilities, and scenic mountain surroundings.
  • 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: Hochferner
Triple: [Zillertal Alps, hasPeak, Hochferner]
Generated description
Hochferner is a mountain peak in the Zillertal Alps, part of the Central Eastern Alps on the border between Austria and Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hochferner
Target entity description: Hochferner is a mountain peak in the Zillertal Alps, part of the Central Eastern Alps on the border between Austria and Italy.
  • A. Windachferner
    Windachferner is a glacier in the Stubai Alps of Tyrol, Austria, forming part of the larger Stubai Glacier ski and alpine area.
  • B. Rinderberg
    Rinderberg is a mountain and ski area in the Swiss Alps, known for its winter sports facilities and scenic alpine views.
  • C. Hohe
    Hohe is an alternative name for the Assiniboine language, a Siouan language traditionally spoken by the Assiniboine people of North America.
  • D. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • E. Hochkrimml
    Hochkrimml is a high-altitude alpine village and ski area in the Austrian Alps, known for its slopes, winter sports facilities, and scenic mountain surroundings.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6769414488190b38e07fd1e989aba completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a2bbcc8819092432b45bebafde6 completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ac5b5f4819083c4d12e9cabc758 completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085bc0781c81909fc53a83291badc0 completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 11:09 a.m.