Triple

T3336360
Position Surface form Disambiguated ID Type / Status
Subject Széchenyi Thermal Bath E70148 entity
Predicate locatedIn P40 FINISHED
Object Városliget
Városliget is a large public city park in Budapest, Hungary, known for its cultural attractions, recreational spaces, and historic landmarks.
 E349632 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: Városliget | Statement: [Széchenyi Thermal Bath, locatedIn, Városliget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Városliget
Context triple: [Széchenyi Thermal Bath, locatedIn, Városliget]
  • A. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • B. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • C. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • D. Vienna Woods
    The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
  • E. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • 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: Városliget
Triple: [Széchenyi Thermal Bath, locatedIn, Városliget]
Generated description
Városliget is a large public city park in Budapest, Hungary, known for its cultural attractions, recreational spaces, and historic landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Városliget
Target entity description: Városliget is a large public city park in Budapest, Hungary, known for its cultural attractions, recreational spaces, and historic landmarks.
  • A. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • B. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • C. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • D. Vienna Woods
    The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
  • E. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bad97481909359e914d44a1a74 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ad1a8819081d7ad2a48e2c5b9 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c393f20819098d5761372d6a980 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b3206be2748190874560701dc1ed18 completed March 12, 2026, 8:22 p.m.
Created at: March 8, 2026, 3:12 p.m.