Triple

T10861821
Position Surface form Disambiguated ID Type / Status
Subject Ammergau Alps E256423 entity
Predicate hasPeak P8205 FINISHED
Object Hörnle
Hörnle is a mountain peak in the Ammergau Alps of Bavaria, Germany, popular for hiking and panoramic alpine views.
E891295 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: Hörnle | Statement: [Ammergau Alps, hasPeak, Hörnle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hörnle
Context triple: [Ammergau Alps, hasPeak, Hörnle]
  • A. Lütje Hörn
    Lütje Hörn is a small, uninhabited sand island in the Wadden Sea off the coast of Lower Saxony, Germany, known for its shifting shape and role as a protected bird habitat.
  • B. Krummhörn
    Krummhörn is a coastal municipality in Lower Saxony, Germany, known for its historic fishing villages, dike landscapes, and traditional East Frisian culture.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Græsholm
    Græsholm is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • E. Hokksund
    Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
  • 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: Hörnle
Triple: [Ammergau Alps, hasPeak, Hörnle]
Generated description
Hörnle is a mountain peak in the Ammergau Alps of Bavaria, Germany, popular for hiking and panoramic alpine views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hörnle
Target entity description: Hörnle is a mountain peak in the Ammergau Alps of Bavaria, Germany, popular for hiking and panoramic alpine views.
  • A. Lütje Hörn
    Lütje Hörn is a small, uninhabited sand island in the Wadden Sea off the coast of Lower Saxony, Germany, known for its shifting shape and role as a protected bird habitat.
  • B. Krummhörn
    Krummhörn is a coastal municipality in Lower Saxony, Germany, known for its historic fishing villages, dike landscapes, and traditional East Frisian culture.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Græsholm
    Græsholm is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • E. Hokksund
    Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.