Triple

T18684528
Position Surface form Disambiguated ID Type / Status
Subject Złota Brama E456821 entity
Predicate hasNameInEnglish P3437 FINISHED
Object Golden Gate 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: Golden Gate | Statement: [Złota Brama, hasNameInEnglish, Golden Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Gate
Context triple: [Złota Brama, hasNameInEnglish, Golden Gate]
  • A. Golden Gate
    The Golden Gate is a historic sealed entrance in the eastern wall of Jerusalem’s Old City, overlooking the Kidron Valley and associated with Jewish, Christian, and Islamic messianic traditions.
  • B. Golden Gate chosen
    The Golden Gate is a historic city gate in Gdańsk, Poland, known for its ornate Renaissance architecture and role as a ceremonial entrance to the Old Town.
  • C. Golden Gate
    Golden Gate is a 1986 non-fiction book by John Madden, best known for its detailed account of the construction and history of San Francisco’s Golden Gate Bridge.
  • D. Golden Gate
    The Golden Gate is the grand northern entrance to the ancient Roman Palace of Diocletian in Split, Croatia, renowned for its monumental architecture and historical significance.
  • E. Golden Gate
    Golden Gate is a 1937 novel by Vikram Seth written entirely in verse, notable for its innovative use of sonnet form to tell a contemporary story set in San Francisco.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2b819c8190b5f3d7a88607f6f5 completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.