Triple
T1160019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECMAScript |
E24470
|
entity |
| Predicate | editionAlias |
P39
|
FINISHED |
| Object | ECMAScript 2022 = ES13 |
E24470
|
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: ECMAScript 2022 = ES13 | Statement: [ECMAScript, editionAlias, ECMAScript 2022 = ES13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECMAScript 2022 = ES13 Context triple: [ECMAScript, editionAlias, ECMAScript 2022 = ES13]
-
A.
TC39
TC39 is the Ecma International committee responsible for developing and standardizing the ECMAScript language, which underpins JavaScript.
-
B.
ECMAScript
chosen
ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
-
C.
ECMA-334
ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
-
D.
Deno
Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
-
E.
V8
V8 is Google’s high-performance open-source JavaScript engine, used in Chrome and Node.js to compile and execute JavaScript directly to native machine 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bf13ab648190931dea78202096e4 |
completed | March 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2e36fc081908de3b67293c7bbf6 |
completed | March 7, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:45 p.m.