Triple
T30768234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrillo Canyon |
E783435
|
entity |
| Predicate | formsLandscapeFeatureBeneath |
P181439
|
FINISHED |
| Object | Cabrillo Bridge |
—
|
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: Cabrillo Bridge | Statement: [Cabrillo Canyon, formsLandscapeFeatureBeneath, Cabrillo Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsLandscapeFeatureBeneath Context triple: [Cabrillo Canyon, formsLandscapeFeatureBeneath, Cabrillo Bridge]
-
A.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
B.
formsLandscapeWith
Indicates that one entity combines or interacts with another to create or constitute a particular landscape or environmental formation.
-
C.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
D.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
E.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 29, 2026, 8:40 p.m.