Triple

T10101333
Position Surface form Disambiguated ID Type / Status
Subject Altenau E216207 entity
Predicate locatedNear P294 FINISHED
Object Torfhaus
Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
E841227 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: Torfhaus | Statement: [Altenau, locatedNear, Torfhaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torfhaus
Context triple: [Altenau, locatedNear, Torfhaus]
  • A. Wildhaus
    Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
  • B. Woermannhaus
    Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
  • C. Otterberg
    Otterberg is a small historic town in the Rhineland-Palatinate region of western Germany, known for its former Cistercian abbey and medieval architecture.
  • D. Munttoren
    Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
  • E. Domhütte
    Domhütte is a high-altitude Swiss Alpine Club mountain hut that serves as the main base for climbers ascending the Dom in the Pennine Alps.
  • 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: Torfhaus
Triple: [Altenau, locatedNear, Torfhaus]
Generated description
Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Torfhaus
Target entity description: Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
  • A. Wildhaus
    Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
  • B. Woermannhaus
    Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
  • C. Otterberg
    Otterberg is a small historic town in the Rhineland-Palatinate region of western Germany, known for its former Cistercian abbey and medieval architecture.
  • D. Munttoren
    Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
  • E. Domhütte
    Domhütte is a high-altitude Swiss Alpine Club mountain hut that serves as the main base for climbers ascending the Dom in the Pennine Alps.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09878f88190bcfa2c81fb10e821 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6d3efec8190b1432ca614aeb334 completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9:02 p.m.