Triple
T15475449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Embarcadero roadway |
E376770
|
entity |
| Predicate | orientationRelativeToWater |
P51360
|
FINISHED |
| Object | parallel to Oakland Estuary |
—
|
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: parallel to Oakland Estuary | Statement: [Oakland Embarcadero roadway, orientationRelativeToWater, parallel to Oakland Estuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationRelativeToWater Context triple: [Oakland Embarcadero roadway, orientationRelativeToWater, parallel to Oakland Estuary]
-
A.
oceanOrientation
Indicates the directional alignment or facing of something relative to an ocean.
-
B.
basinOrientation
chosen
Indicates the directional alignment or facing direction of a basin relative to a reference frame or geographic context.
-
C.
waveOrientation
Indicates the direction or alignment of a wave relative to a reference frame or surface.
-
D.
orientationInducedBy
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
-
E.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.