Triple

T857690
Position Surface form Disambiguated ID Type / Status
Subject Temple of Apollo at Delphi E18528 entity
Predicate locatedIn P40 FINISHED
Object Delphi E2400 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: Delphi | Statement: [Temple of Apollo at Delphi, locatedIn, Delphi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delphi
Context triple: [Temple of Apollo at Delphi, locatedIn, Delphi]
  • A. Delphi chosen
    Delphi is an ancient Greek sanctuary and archaeological site famed for the Oracle of Apollo and its central role in classical Greek religion and culture.
  • B. Delphi (programming language)
    Delphi is an object-oriented, rapid application development programming language and environment derived from Pascal, primarily used for building native Windows applications.
  • C. Embarcadero
    Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
  • D. Turbo Pascal
    Turbo Pascal is a once-popular integrated development environment and compiler for the Pascal programming language, known for its fast compilation speed and influence on early PC software development.
  • E. Borland
    Borland was a prominent software company best known for its influential development tools and programming environments, particularly during the 1980s and 1990s.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c1ee4481909d5713122e5ad856 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.