Triple
T7897736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NgRx |
E183376
|
entity |
| Predicate | builtOn |
P2012
|
FINISHED |
| Object | RxJS |
E183374
|
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: RxJS | Statement: [NgRx, builtOn, RxJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RxJS Context triple: [NgRx, builtOn, RxJS]
-
A.
RxJS
chosen
RxJS is a JavaScript library for reactive programming that uses observables to handle asynchronous data streams and event-based programs.
-
B.
Should.js
Should.js is a behavior-driven development (BDD) assertion library for Node.js and JavaScript that provides expressive, chainable assertions for testing.
-
C.
NgRx
NgRx is a set of reactive state management libraries for Angular applications, inspired by Redux and built on RxJS to help manage global and local application state in a predictable way.
-
D.
Axios
Axios is a digital media company known for its concise, bullet-point-driven coverage of politics, business, technology, and media.
-
E.
Axios
Axios is a river god in Greek mythology, associated with the Axios (Vardar) River in the Balkans and counted among the Potamoi, the divine personifications of rivers.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.