Triple

T13536593
Position Surface form Disambiguated ID Type / Status
Subject Dom-Römer Quarter E323277 entity
Predicate hasPart P35 FINISHED
Object Hühnermarkt
Hühnermarkt is a historic square in Frankfurt’s old town, known for its reconstructed traditional timber-framed houses and central role in the Dom-Römer redevelopment area.
 E1046624 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: Hühnermarkt | Statement: [Dom-Römer Quarter, hasPart, Hühnermarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hühnermarkt
Context triple: [Dom-Römer Quarter, hasPart, Hühnermarkt]
  • A. The Poultry Seller
    The Poultry Seller is a 17th-century genre painting by Dutch artist Gabriel Metsu depicting a lively market scene centered on a vendor selling poultry.
  • B. Trhové Sviny
    Trhové Sviny is a small historic town in the South Bohemian Region of the Czech Republic.
  • C. Galinhas
    Galinhas is an island in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
  • D. El Mercado
    El Mercado is a vibrant, historic Mexican-style market in San Antonio, Texas, known for its shops, restaurants, and cultural festivities.
  • E. Koňský trh
    Koňský trh was the historical horse market that once occupied the area now known as Wenceslas Square in Prague.
  • 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: Hühnermarkt
Triple: [Dom-Römer Quarter, hasPart, Hühnermarkt]
Generated description
Hühnermarkt is a historic square in Frankfurt’s old town, known for its reconstructed traditional timber-framed houses and central role in the Dom-Römer redevelopment area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hühnermarkt
Target entity description: Hühnermarkt is a historic square in Frankfurt’s old town, known for its reconstructed traditional timber-framed houses and central role in the Dom-Römer redevelopment area.
  • A. The Poultry Seller
    The Poultry Seller is a 17th-century genre painting by Dutch artist Gabriel Metsu depicting a lively market scene centered on a vendor selling poultry.
  • B. Trhové Sviny
    Trhové Sviny is a small historic town in the South Bohemian Region of the Czech Republic.
  • C. Galinhas
    Galinhas is an island in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
  • D. El Mercado
    El Mercado is a vibrant, historic Mexican-style market in San Antonio, Texas, known for its shops, restaurants, and cultural festivities.
  • E. Koňský trh
    Koňský trh was the historical horse market that once occupied the area now known as Wenceslas Square in Prague.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e7d8970819092116ae7a769ac21 completed May 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f75f35c6008190b88e14feddb93a1d completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:45 p.m.