Triple
T5923091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSX |
E131741
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | JSX |
E3742
|
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: JSX | Statement: [TSX, relatedTo, JSX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JSX Context triple: [TSX, relatedTo, JSX]
-
A.
React
React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
-
B.
JS
JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
-
C.
Svelte
Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
-
D.
JavaScript
chosen
JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
-
E.
EJS
EJS (Embedded JavaScript) is a simple templating language that lets you generate HTML markup with plain JavaScript code.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03804d9808190829a418adb7864aa |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.