Triple
T22725427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black River (King County, Washington) |
E561978
|
entity |
| Predicate | pre1916Status |
P149469
|
FINISHED |
| Object | perennial flowing river |
—
|
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: perennial flowing river | Statement: [Black River (King County, Washington), pre1916Status, perennial flowing river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pre1916Status Context triple: [Black River (King County, Washington), pre1916Status, perennial flowing river]
-
A.
statusBefore1918
Indicates that a particular status, condition, or classification applied to an entity prior to the year 1918.
-
B.
prewarStatus
Indicates the condition, role, or circumstances of an entity as they existed before a specific war or armed conflict.
-
C.
legalStatusAfter1910
Indicates the legal status or condition that applied to an entity after the year 1910.
-
D.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
E.
pre1948Status
Indicates the status or condition of an entity as it existed prior to the year 1948.
- F. None of above. chosen
Provenance (4 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17929710c81909a895622ee32920e |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:20 p.m.