Triple
T36901156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremerton–Silverdale–Port Orchard metropolitan area |
E912036
|
entity |
| Predicate | acrossBodyOfWater |
P64456
|
FINISHED |
| Object | Puget Sound |
—
|
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: Puget Sound | Statement: [Bremerton–Silverdale–Port Orchard metropolitan area, acrossBodyOfWater, Puget Sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acrossBodyOfWater Context triple: [Bremerton–Silverdale–Port Orchard metropolitan area, acrossBodyOfWater, Puget Sound]
-
A.
crossesWaterBody
Indicates that an entity moves from one side of a water body to the other by passing over, through, or across it.
-
B.
acrossWaterFrom
chosen
Indicates that two entities are located on opposite sides of a body of water, separated by that water.
-
C.
touchesBodyOfWater
Indicates that one entity is in direct physical contact with the surface or boundary of a body of water.
-
D.
navigatesWaterBody
Indicates that an entity moves through or across a body of water as a means of travel or operation.
-
E.
involvesBodyOfWater
Indicates that the relationship or event includes, affects, or takes place in connection with a body of water such as a sea, lake, river, or ocean.
- 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_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.