Triple
T14394535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebStorm |
E356921
|
entity |
| Predicate | supportsTechnology |
P5090
|
FINISHED |
| Object | Jest |
E183386
|
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: Jest | Statement: [WebStorm, supportsTechnology, Jest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jest Context triple: [WebStorm, supportsTechnology, Jest]
-
A.
Jest
chosen
Jest is a popular JavaScript testing framework known for its simplicity, built-in mocking, and snapshot testing, commonly used in Node.js and React applications.
-
B.
Gwandu
Gwandu is a historic town in northwestern Nigeria known as an important center of Islamic scholarship and traditional authority.
-
C.
Jme
Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
-
D.
Jako
Jako is a German sportswear and equipment company known for producing football kits and athletic apparel for professional and amateur teams.
-
E.
Jisp
Jisp is a small village in the Dutch province of North Holland, known for its historic wooden houses and traditional polder landscape.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.