Triple
T11527469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orting |
E273332
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | City of Orting |
E635513
|
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: City of Orting | Statement: [Orting, abbreviation, City of Orting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Orting Context triple: [Orting, abbreviation, City of Orting]
-
A.
City of Orting
chosen
The City of Orting is a small community in Pierce County, Washington, known for its scenic setting near Mount Rainier and its location along the Puyallup River.
-
B.
City of Wapato
The City of Wapato is a small agricultural community in central Washington State known for its diverse population and proximity to the Yakama Nation Reservation.
-
C.
City of Oconto Falls
The City of Oconto Falls is a small Wisconsin city situated along the Oconto River, known for its paper industry roots and role as a local commercial and residential center in northeastern Wisconsin.
-
D.
Wisconsin Rapids
Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
-
E.
Plattling
Plattling is a town in southeastern Germany known for its location on the River Isar and its role as a regional transport and commercial hub.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6256e3130819095a93c8d1891b078 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 8, 2026, 9:37 p.m.