Triple

T5280597
Position Surface form Disambiguated ID Type / Status
Subject Klaipėda Castle ruins E119486 entity
Predicate originalName P65 FINISHED
Object Memelburg
Memelburg was the medieval German name for the fortress that later became known as Klaipėda Castle in present-day Lithuania.
 E509314 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: Memelburg | Statement: [Klaipėda Castle ruins, originalName, Memelburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Memelburg
Context triple: [Klaipėda Castle ruins, originalName, Memelburg]
  • A. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • B. Ubbergen
    Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
  • C. Eemshaven
    Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
  • D. Wessum
    Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
  • E. Vlieland
    Vlieland is a sparsely populated Dutch Wadden Sea island known for its wide beaches, dunes, and car-free, nature-focused tourism.
  • 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: Memelburg
Triple: [Klaipėda Castle ruins, originalName, Memelburg]
Generated description
Memelburg was the medieval German name for the fortress that later became known as Klaipėda Castle in present-day Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Memelburg
Target entity description: Memelburg was the medieval German name for the fortress that later became known as Klaipėda Castle in present-day Lithuania.
  • A. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • B. Ubbergen
    Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
  • C. Eemshaven
    Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
  • D. Wessum
    Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
  • E. Vlieland
    Vlieland is a sparsely populated Dutch Wadden Sea island known for its wide beaches, dunes, and car-free, nature-focused tourism.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c409248190a0154a660f58e096 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06dd56a08190a7cfef614e5990f4 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08eb8a50819092df2f12679fbca0 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf0cd1307481909a60298929af7699 completed March 21, 2026, 9:25 p.m.
Created at: March 20, 2026, 1:52 p.m.