Triple
T21585398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield, Washington, United States |
E532636
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object | US-WA |
—
|
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: US-WA | Statement: [Fairfield, Washington, United States, hasRegionCode, US-WA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-WA Context triple: [Fairfield, Washington, United States, hasRegionCode, US-WA]
-
A.
WA
WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
-
B.
WA
WA is the standard abbreviation for World Aquatics, the international governing body for aquatic sports such as swimming, diving, water polo, artistic swimming, open water swimming, and high diving.
-
C.
WA
WA is the commonly used abbreviation for World Archery, the international governing body for the sport of archery.
-
D.
WA
chosen
WA is the standard abbreviation for Western Australia, a large state occupying the entire western third of the Australian continent.
-
E.
WA
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb60032881908dd35ac76392ad07 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.