Triple
T20969931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Washington |
E516466
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Olympia |
—
|
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: Olympia | Statement: [Western Washington, hasMajorCity, Olympia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympia Context triple: [Western Washington, hasMajorCity, Olympia]
-
A.
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.
-
B.
Olympia
chosen
Olympia is the capital city of Washington State, located at the southern end of Puget Sound and known as a regional center for government and culture.
-
C.
Olympia
Olympia is Édouard Manet’s groundbreaking 1863 oil painting that scandalized Paris with its frank depiction of a reclining nude and is now regarded as a pivotal work in the development of modern art.
-
D.
Olympia
Olympia is a prestigious international bodybuilding competition title awarded annually to the world's top professional bodybuilders.
-
E.
Olympia
Olympia is the Psychic-type Gym Leader of Anistar City in the Kalos region in the Pokémon series.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9f53e88190847f93e0bbca6ea0 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:43 p.m.