Triple
T10329239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Web Platform |
E242834
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | JSON-LD |
E171299
|
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: JSON-LD | Statement: [Open Web Platform, hasComponent, JSON-LD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JSON-LD Context triple: [Open Web Platform, hasComponent, JSON-LD]
-
A.
JSON-LD
chosen
JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
-
B.
Microdata
Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
-
C.
W3C JSON for Linking Data Community Group
The W3C JSON for Linking Data Community Group is a W3C community initiative focused on developing and promoting JSON-LD as a standard way to represent and link structured data on the web.
-
D.
W3C JSON-LD Working Group
The W3C JSON-LD Working Group is a World Wide Web Consortium group responsible for developing and maintaining the JSON-LD standard for linking data using JSON on the web.
-
E.
RDFa
RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.