Triple
T36901155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremerton–Silverdale–Port Orchard metropolitan area |
E912036
|
entity |
| Predicate | acrossBodyOfWaterFrom |
P65230
|
FINISHED |
| Object | Seattle, 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: Seattle, Washington | Statement: [Bremerton–Silverdale–Port Orchard metropolitan area, acrossBodyOfWaterFrom, Seattle, Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acrossBodyOfWaterFrom Context triple: [Bremerton–Silverdale–Port Orchard metropolitan area, acrossBodyOfWaterFrom, Seattle, Washington]
-
A.
acrossWaterFrom
Indicates that two entities are located on opposite sides of a body of water, separated by that water.
-
B.
crossesWaterBody
Indicates that an entity moves from one side of a water body to the other by passing over, through, or across it.
-
C.
bodyOfWaterOnOtherSide
chosen
Indicates that one entity is located across a body of water from the other entity, with the water lying between them.
-
D.
acrossLagoonFrom
Indicates that one entity is located on the opposite side of a lagoon relative to another entity.
-
E.
navigatesWaterBody
Indicates that an entity moves through or across a body of water as a means of travel or operation.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd943fdc81909e18d81b6b5ff967 |
completed | May 5, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.