Triple
T10827270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroku |
E255524
|
entity |
| Predicate | website |
P69
|
FINISHED |
| Object | https://www.heroku.com/ |
E255524
|
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: https://www.heroku.com/ | Statement: [Heroku, website, https://www.heroku.com/]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: https://www.heroku.com/ Context triple: [Heroku, website, https://www.heroku.com/]
-
A.
Heroku
chosen
Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure.
-
B.
Vercel
Vercel is a cloud platform for frontend developers, best known for hosting and developing modern web applications and for creating the popular React framework Next.js.
-
C.
Netlify
Netlify is a cloud platform for building, deploying, and hosting modern web applications and static sites with integrated CI/CD and serverless capabilities.
-
D.
DigitalOcean
DigitalOcean is a cloud infrastructure provider known for its simple, developer-friendly platform offering virtual servers, storage, and networking services.
-
E.
Cloud9
Cloud9 is a prominent North American esports organization best known for its success across games like League of Legends, Counter-Strike, and Valorant.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d2b9f88190b79a7b168d7836c8 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.