Triple
T14540719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaba |
E341160
|
entity |
| Predicate | hasPart |
P35
|
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: [Zaba, hasPart, Walla Walla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walla Walla Context triple: [Zaba, hasPart, 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.
Chinook, Washington
Chinook, Washington is a small unincorporated community in Pacific County known for its historic fishing industry and location near the mouth of the Columbia River.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16666b8819090fb33c71515ab0a |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:22 a.m.