Triple
T18530000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symfony Routing |
E452808
|
entity |
| Predicate | provides |
P490
|
FINISHED |
| Object | RouteCollection |
—
|
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: RouteCollection | Statement: [Symfony Routing, provides, RouteCollection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RouteCollection Context triple: [Symfony Routing, provides, RouteCollection]
-
A.
Cofiroute
Cofiroute is a French toll road concession company that finances, builds, and operates motorway and tunnel infrastructure.
-
B.
Routing
chosen
Routing is the Symfony component responsible for mapping incoming HTTP requests to specific controllers and actions based on defined URL patterns.
-
C.
Route 501
Route 501 is a numbered roadway that serves as a regional transportation corridor connected to Route 440.
-
D.
Rails routing
Rails routing is the component of the Ruby on Rails framework that maps incoming HTTP requests to specific controller actions based on defined URL patterns.
-
E.
Route O
Route O is a Missouri state highway designation used for a specific lettered route within the state's secondary road system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fb940c81909d4ad9fc37f47829 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.