Triple

T4803379
Position Surface form Disambiguated ID Type / Status
Subject Ringstrasse, Vienna E106887 entity
Predicate hasPart P35 FINISHED
Object Parkring
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
E468705 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: Parkring | Statement: [Ringstrasse, Vienna, hasPart, Parkring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkring
Context triple: [Ringstrasse, Vienna, hasPart, Parkring]
  • A. Parkend
    Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
  • B. PPL Park
    PPL Park is a soccer-specific stadium in Chester, Pennsylvania, that originally served as the home venue for Major League Soccer’s Philadelphia Union.
  • C. Subaru Park
    Subaru Park is a soccer-specific stadium in Chester, Pennsylvania, best known as the home venue of Major League Soccer’s Philadelphia Union.
  • D. Parkar
    Parkar is a less common spelling variant of the surname Parker, which is of English origin.
  • E. Kalorama Park
    Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
  • 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: Parkring
Triple: [Ringstrasse, Vienna, hasPart, Parkring]
Generated description
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parkring
Target entity description: Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
  • A. Parkend
    Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
  • B. PPL Park
    PPL Park is a soccer-specific stadium in Chester, Pennsylvania, that originally served as the home venue for Major League Soccer’s Philadelphia Union.
  • C. Subaru Park
    Subaru Park is a soccer-specific stadium in Chester, Pennsylvania, best known as the home venue of Major League Soccer’s Philadelphia Union.
  • D. Parkar
    Parkar is a less common spelling variant of the surname Parker, which is of English origin.
  • E. Kalorama Park
    Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c432ad4819095106dd6e2968cfb completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44a60c2c8190b47efae80379b21e completed March 21, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69be4530fe5c8190aa976151cdd5bc7a completed March 21, 2026, 7:13 a.m.
Created at: March 20, 2026, 1:23 p.m.