Triple

T19643399
Position Surface form Disambiguated ID Type / Status
Subject Lambert Tower E471601 entity
Predicate partOf P40 FINISHED
Object Lambert Castle complex NE NERFINISHED

How this triple was built (2 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: Lambert Castle complex | Statement: [Lambert Tower, partOf, Lambert Castle complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambert Castle complex
Context triple: [Lambert Tower, partOf, Lambert Castle complex]
  • A. Lambert Castle chosen
    Lambert Castle is a historic 19th-century mansion and museum in Paterson, New Jersey, known for its distinctive architecture and views over the surrounding area.
  • B. Lamberg Castle
    Lamberg Castle is a historic hilltop castle and former noble residence overlooking the town of Steyr in Upper Austria.
  • C. Lutry castle
    Lutry castle is a historic medieval fortress located in the town of Lutry on the shores of Lake Geneva in Switzerland.
  • D. Valère Castle
    Valère Castle is a historic fortified complex overlooking the town of Sion in the Swiss canton of Valais, notable for its medieval architecture and hilltop basilica.
  • E. Lahneck Castle
    Lahneck Castle is a medieval hilltop fortress in Lahnstein, Germany, overlooking the confluence of the Lahn and Rhine rivers and known for its well-preserved architecture and picturesque setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641239ca08190a8bb8854f21ab562 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.