Triple
T9398462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friday Harbor, Washington |
E226405
|
entity |
| Predicate | islandCountySeat |
P26439
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Friday Harbor, Washington, islandCountySeat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandCountySeat Context triple: [Friday Harbor, Washington, islandCountySeat, true]
-
A.
islandCounty
Indicates that a county is located on, or primarily consists of, one or more islands.
-
B.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
C.
hasCountySeatOn
chosen
Indicates that a county’s administrative center (county seat) is located on or adjacent to a specified geographic feature or infrastructure.
-
D.
nearestCountySeat
Indicates that one location is the closest county seat geographically to another location.
-
E.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51556fc08190b8ff8190a1485a3a |
completed | April 1, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.