Triple

T2471430
Position Surface form Disambiguated ID Type / Status
Subject Habsburg Castle E55382 entity
Predicate locatedNear P294 FINISHED
Object Brugg
Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
 E270538 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: Brugg | Statement: [Habsburg Castle, locatedNear, Brugg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brugg
Context triple: [Habsburg Castle, locatedNear, Brugg]
  • A. Bruges
    Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
  • B. Gavere
    Gavere is a municipality in the Belgian province of East Flanders, known for its rural character and several constituent villages.
  • C. Wassenaar
    Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
  • D. Boudry
    Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
  • E. Wateringen
    Wateringen is a town in the western Netherlands that forms part of the municipality of Westland in the province of South Holland.
  • 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: Brugg
Triple: [Habsburg Castle, locatedNear, Brugg]
Generated description
Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brugg
Target entity description: Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
  • A. Bruges
    Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
  • B. Gavere
    Gavere is a municipality in the Belgian province of East Flanders, known for its rural character and several constituent villages.
  • C. Wassenaar
    Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
  • D. Boudry
    Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
  • E. Wateringen
    Wateringen is a town in the western Netherlands that forms part of the municipality of Westland in the province of South Holland.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd136f5388190801d0b9dc66ad36f completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a5bb04819090b3156a9819b87d completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1aca9a5081909e3a1b810b61e19d completed March 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69af1b45a30c8190a3555fea9c03e343 completed March 9, 2026, 7:11 p.m.
Created at: March 6, 2026, 9:44 p.m.