Triple
T38475973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transportation in Kitsap County, Washington |
E915549
|
entity |
| Predicate | connectsToCounty |
P13451
|
FINISHED |
| Object | Pierce County, Washington |
—
|
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: Pierce County, Washington | Statement: [Transportation in Kitsap County, Washington, connectsToCounty, Pierce County, Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToCounty Context triple: [Transportation in Kitsap County, Washington, connectsToCounty, Pierce County, Washington]
-
A.
connectsCountyTown
Indicates a relationship where a county is linked or associated with a town, typically signifying that the town lies within or is administered by that county.
-
B.
associatedWithCounty
chosen
Indicates that an entity has a relationship or linkage to a specific county, such as jurisdiction, location, or administrative association.
-
C.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
D.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
E.
sharesCountyWith
Indicates that two entities are located within the same county jurisdiction.
- F. None of above.
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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:31 p.m.