Triple
T15280188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Oklahoma |
E365247
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Waurika |
E1149335
|
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: Waurika | Statement: [Jefferson County, Oklahoma, hasSettlement, Waurika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waurika Context triple: [Jefferson County, Oklahoma, hasSettlement, Waurika]
-
A.
Waurika
chosen
Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
-
B.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
-
C.
Kuwarra
Kuwarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region.
-
D.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
-
E.
Womboota
Womboota is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and close-knit community.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b39b6f88190ac9d6532e99fda31 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:15 a.m.