Triple

T10118363
Position Surface form Disambiguated ID Type / Status
Subject John J. O'Connell E223219 entity
Predicate workLocation P7 FINISHED
Object Olympia, Washington E738239 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: Olympia, Washington | Statement: [John J. O'Connell, workLocation, Olympia, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympia, Washington
Context triple: [John J. O'Connell, workLocation, Olympia, Washington]
  • A. Olympia, Washington chosen
    Olympia, Washington is a small Pacific Northwest city known as the political and administrative center of Washington State, situated at the southern end of Puget Sound.
  • B. Olympia
    Olympia is an ancient sanctuary in Greece renowned as a major religious center dedicated to Zeus and the original site of the Olympic Games.
  • C. Olympia
    Olympia is a 1938 German documentary film directed by Leni Riefenstahl that chronicles the 1936 Berlin Olympic Games and is renowned both for its pioneering cinematic techniques and its association with Nazi propaganda.
  • D. Olympia
    Olympia is a prestigious international bodybuilding competition title awarded annually to the world's top professional bodybuilders.
  • E. Olympia
    Olympia is a prominent football stadium in Helsingborg, Sweden, serving as the home ground of Helsingborgs IF.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26460a4819093a3b239d97c3e3d completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6527343048190b3bb13b33c32fbf7 completed April 8, 2026, 1:04 p.m.
Created at: March 30, 2026, 9:04 p.m.