Triple
T18530437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symfony Messenger |
E452817
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Symfony serializer |
—
|
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: Symfony serializer | Statement: [Symfony Messenger, supports, Symfony serializer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symfony serializer Context triple: [Symfony Messenger, supports, Symfony serializer]
-
A.
Serializer
chosen
Serializer is a Symfony component that transforms PHP data structures and objects to and from formats like JSON, XML, and YAML for easy data exchange and storage.
-
B.
JsonbSerializer
JsonbSerializer is a Jakarta JSON Binding (JSON-B) interface that allows developers to define custom serialization logic for converting Java objects into JSON.
-
C.
Symfony
Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
-
D.
SymfonyCon
SymfonyCon is an official international conference that brings together the Symfony PHP framework community for talks, workshops, and networking.
-
E.
Doctrine ORM
Doctrine ORM is a widely used PHP object-relational mapper that provides a powerful database abstraction layer and mapping between PHP objects and relational databases.
- 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_69e533fd0e348190ab3d4548f74b9b79 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.