Triple
T27295686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Route 75 |
E688756
|
entity |
| Predicate | bayLoopDescription |
P162311
|
FINISHED |
| Object | forms a loop around part of San Diego Bay |
—
|
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: forms a loop around part of San Diego Bay | Statement: [California State Route 75, bayLoopDescription, forms a loop around part of San Diego Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bayLoopDescription Context triple: [California State Route 75, bayLoopDescription, forms a loop around part of San Diego Bay]
-
A.
bayLocation
Indicates that an entity (such as a bay) is geographically located in or along a specified place or region.
-
B.
bayView
Indicates that one entity has a view overlooking a bay or is oriented toward a bay.
-
C.
bayAccess
Indicates that an entity has the ability, right, or means to reach, use, or interact with a specific bay or bay area.
-
D.
bayType
Indicates the specific kind or classification of a bay associated with an entity.
-
E.
bayName
Indicates that an entity has the specified name of a bay or is identified by that bay name.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6277f37208190a33476a7a3bddec6 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 11:18 a.m.