Triple
T14890640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PhpStorm |
E359744
|
entity |
| Predicate | supportsFramework |
P9089
|
FINISHED |
| Object | Lumen |
E452798
|
NE 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: Lumen | Statement: [PhpStorm, supportsFramework, Lumen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumen Context triple: [PhpStorm, supportsFramework, Lumen]
-
A.
Lumen
Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
-
B.
Lumen
chosen
Lumen is a lightweight PHP micro-framework created by the Laravel team, optimized for building fast microservices and APIs.
-
C.
Lumen
Lumen is a character or element from the work "Lumen in caelo," likely serving as a central or significant figure within that context.
-
D.
Lumen
Lumen is a philosophical science-fiction work by Camille Flammarion that explores themes of astronomy, reincarnation, and the nature of time and space through imaginative cosmic dialogues.
-
E.
Luminary
Luminary is a record label associated with the influential hip-hop duo Black Star, known for its role in underground and conscious rap music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b61407481908a618d14c56d2abf |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:10 a.m.