Triple
T5251255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitman College |
E118591
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Walla Walla |
E291588
|
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: Walla Walla | Statement: [Whitman College, city, Walla Walla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walla Walla Context triple: [Whitman College, city, Walla Walla]
-
A.
Walla Walla, Washington
chosen
Walla Walla, Washington is a small city in southeastern Washington State known for its historic downtown, agricultural roots, and thriving wine industry.
-
B.
Yakima
Yakima is a city in south-central Washington State known as a major agricultural hub, particularly for apples, hops, and wine grapes.
-
C.
Chehalis, Washington
Chehalis, Washington is a small city in Lewis County that serves as a regional hub and county seat in southwestern Washington State.
-
D.
Palouse, Washington
Palouse, Washington is a small rural city in southeastern Washington State known for its rolling agricultural landscapes and historic downtown.
-
E.
Okanogan, Washington
Okanogan, Washington is a small city in north-central Washington State that serves as an administrative and commercial hub for the surrounding rural region.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7b840881908bb1ecb8a0047382 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c3bfdc48190984c8b55ece53fbe |
completed | March 22, 2026, 4:12 a.m. |
Created at: March 20, 2026, 1:50 p.m.