Triple

T12151662
Position Surface form Disambiguated ID Type / Status
Subject Culemborg E289469 entity
Predicate hasLandmark P105 FINISHED
Object Binnenpoort
Binnenpoort is a historic city gate in Culemborg in the Netherlands, notable as a remnant of the town’s medieval fortifications.
E970174 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: Binnenpoort | Statement: [Culemborg, hasLandmark, Binnenpoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenpoort
Context triple: [Culemborg, hasLandmark, Binnenpoort]
  • A. Gevangenpoort
    Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
  • B. Blokhuispoort
    Blokhuispoort is a former prison complex in Leeuwarden, Netherlands, that has been transformed into a cultural and creative hub with museums, studios, and public spaces.
  • C. Broederpoort
    Broederpoort is a historic city gate in Kampen, the Netherlands, known for its well-preserved Renaissance architecture.
  • D. De Waterkant
    De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
  • E. De Koperwiek
    De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
  • 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: Binnenpoort
Triple: [Culemborg, hasLandmark, Binnenpoort]
Generated description
Binnenpoort is a historic city gate in Culemborg in the Netherlands, notable as a remnant of the town’s medieval fortifications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Binnenpoort
Target entity description: Binnenpoort is a historic city gate in Culemborg in the Netherlands, notable as a remnant of the town’s medieval fortifications.
  • A. Gevangenpoort
    Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
  • B. Blokhuispoort
    Blokhuispoort is a former prison complex in Leeuwarden, Netherlands, that has been transformed into a cultural and creative hub with museums, studios, and public spaces.
  • C. Broederpoort
    Broederpoort is a historic city gate in Kampen, the Netherlands, known for its well-preserved Renaissance architecture.
  • D. De Waterkant
    De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
  • E. De Koperwiek
    De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60c9276d0819086b5f7712fe8d6e6 completed May 2, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:49 p.m.