Triple

T15682859
Position Surface form Disambiguated ID Type / Status
Subject Leiden E377622 entity
Predicate hasPart P35 FINISHED
Object Binnenstad
Binnenstad is the historic city center of Leiden in the Netherlands, known for its canals, old university buildings, and preserved medieval streets.
E1170822 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: Binnenstad | Statement: [Leiden, hasPart, Binnenstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenstad
Context triple: [Leiden, hasPart, Binnenstad]
  • A. Binnenstad
    Binnenstad is the historic city center of Amsterdam, known for its canals, medieval streets, and major cultural and governmental landmarks.
  • B. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • C. Noordermarkt
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • D. Oude Schans
    Oude Schans is a historic canal in central Amsterdam, known for its picturesque waterfront and prominent landmarks along its banks.
  • E. Drechtsteden
    Drechtsteden is an urban region in the western Netherlands centered around the city of Dordrecht and several surrounding municipalities, known for its shared administrative and economic cooperation.
  • 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: Binnenstad
Triple: [Leiden, hasPart, Binnenstad]
Generated description
Binnenstad is the historic city center of Leiden in the Netherlands, known for its canals, old university buildings, and preserved medieval streets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Binnenstad
Target entity description: Binnenstad is the historic city center of Leiden in the Netherlands, known for its canals, old university buildings, and preserved medieval streets.
  • A. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • B. Binnenstad
    Binnenstad is the historic city center of Amsterdam, known for its canals, medieval streets, and major cultural and governmental landmarks.
  • C. Noordermarkt
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • D. Oude Schans
    Oude Schans is a historic canal in central Amsterdam, known for its picturesque waterfront and prominent landmarks along its banks.
  • E. Drechtsteden
    Drechtsteden is an urban region in the western Netherlands centered around the city of Dordrecht and several surrounding municipalities, known for its shared administrative and economic cooperation.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff705476008190b6151491bf89654e completed May 9, 2026, 5:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff70ea739081909f63657c8fd6fa81 completed May 9, 2026, 5:37 p.m.
Created at: April 10, 2026, 4:16 a.m.