Triple

T3356463
Position Surface form Disambiguated ID Type / Status
Subject Fisherman's Bastion E70615 entity
Predicate nativeName P15 FINISHED
Object Halászbástya
Halászbástya is a neo-Romanesque terrace and popular panoramic lookout point on the Buda side of Budapest, Hungary, offering iconic views over the Danube and the Parliament building.
 E350838 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: Halászbástya | Statement: [Fisherman's Bastion, nativeName, Halászbástya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halászbástya
Context triple: [Fisherman's Bastion, nativeName, Halászbástya]
  • A. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • B. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • C. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • D. Haselünne
    Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
  • E. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • 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: Halászbástya
Triple: [Fisherman's Bastion, nativeName, Halászbástya]
Generated description
Halászbástya is a neo-Romanesque terrace and popular panoramic lookout point on the Buda side of Budapest, Hungary, offering iconic views over the Danube and the Parliament building.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halászbástya
Target entity description: Halászbástya is a neo-Romanesque terrace and popular panoramic lookout point on the Buda side of Budapest, Hungary, offering iconic views over the Danube and the Parliament building.
  • A. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • B. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • C. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • D. Haselünne
    Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
  • E. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.