Triple

T7053439
Position Surface form Disambiguated ID Type / Status
Subject Gornji Grad E164025 entity
Predicate hasLandmark P105 FINISHED
Object Stone Gate E640695 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: Stone Gate | Statement: [Gornji Grad, hasLandmark, Stone Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stone Gate
Context triple: [Gornji Grad, hasLandmark, Stone Gate]
  • A. Stone Gate chosen
    Stone Gate is a historic medieval city gate in Zagreb’s Upper Town, renowned as a religious shrine and one of the city’s most iconic landmarks.
  • B. Valley Gates
    Valley Gates is a notable entrance area within Franklin Park in Boston, serving as one of the park’s key access points and landscape features.
  • C. Sainyar Gate
    Sainyar Gate is one of the historic entrance gates of Jhansi Fort, associated with the fort’s defensive architecture and its role in the 1857 Indian Rebellion.
  • D. Orpen Gate
    Orpen Gate is one of the main western entrances to South Africa’s Kruger National Park, providing access to popular wildlife viewing areas and rest camps.
  • E. Tabor Gate
    Tabor Gate is a historic entrance gate forming part of the medieval fortifications of the Vyšehrad complex in Prague.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e265ea348190a9bd3807c0d605d8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c857ca08190a964861cb7aff86a completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:37 p.m.