Triple
T19232503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Beach Yard |
E480904
|
entity |
| Predicate | fleetTypeHandled |
P62605
|
FINISHED |
| Object | historic PCC streetcars |
—
|
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: historic PCC streetcars | Statement: [Cameron Beach Yard, fleetTypeHandled, historic PCC streetcars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetTypeHandled Context triple: [Cameron Beach Yard, fleetTypeHandled, historic PCC streetcars]
-
A.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
B.
fleetTypeOperated
chosen
Indicates that an entity operates or manages a particular type or category of fleet.
-
C.
naveType
Indicates the architectural or structural type or style of a building’s nave in relation to that nave.
-
D.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
-
E.
formerFleetType
Indicates that an entity previously belonged to or operated as a specified type of fleet, but no longer does so.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9fa7348190947129273d19c9a7 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.