Triple
T18531379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SymfonyCon |
E452837
|
entity |
| Predicate | organizedBy |
P123
|
FINISHED |
| Object | SensioLabs |
—
|
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: SensioLabs | Statement: [SymfonyCon, organizedBy, SensioLabs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SensioLabs Context triple: [SymfonyCon, organizedBy, SensioLabs]
-
A.
SensioLabs
chosen
SensioLabs is a French software company best known for creating and maintaining the Symfony PHP framework and providing related consulting, training, and support services.
-
B.
SymfonyCon
SymfonyCon is an official international conference that brings together the Symfony PHP framework community for talks, workshops, and networking.
-
C.
Symfony community
The Symfony community is a global, open-source developer ecosystem that collaboratively builds, maintains, and supports the Symfony PHP framework and its related components.
-
D.
Fabien Potencier
Fabien Potencier is a French software developer and entrepreneur best known as the creator of the Symfony PHP framework and founder of SensioLabs.
-
E.
Eiffel Software
Eiffel Software is a software company best known for developing the Eiffel programming language and tools that emphasize object-oriented design and software reliability.
- 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.