Triple

T4588827
Position Surface form Disambiguated ID Type / Status
Subject The Castle E103433 entity
Predicate originalTitle P65 FINISHED
Object Das Schloss E103433 NE FINISHED

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: Das Schloss | Statement: [The Castle, originalTitle, Das Schloss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Das Schloss
Context triple: [The Castle, originalTitle, Das Schloss]
  • A. Das Schloss
    Das Schloss is a prominent shopping mall in Berlin known for its distinctive architecture and wide range of retail and dining options.
  • B. The Castle
    The Castle is a historic government building in Jamestown that serves as a key administrative and architectural landmark of the area.
  • C. The Castle
    The Castle is the iconic red sandstone building on the National Mall in Washington, D.C., that serves as the historic headquarters and visitor center of the Smithsonian Institution.
  • D. The Castle chosen
    The Castle is a surreal, unfinished novel by Franz Kafka that follows a land surveyor’s futile attempts to gain access to a mysterious, bureaucratic authority that governs a remote village.
  • E. The Castle
    The Castle is a historic fortification in Mumbai, India, that served as the original fortified settlement of the British East India Company in the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592115fc8190b1aee1d8bbaf1ee3 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0b9f700819082b0e5171132d0f3 completed March 21, 2026, 12:05 a.m.
Created at: March 20, 2026, 1:11 p.m.