Triple
T10329227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Web Platform |
E242834
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Selectors API |
E662775
|
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: Selectors API | Statement: [Open Web Platform, hasComponent, Selectors API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selectors API Context triple: [Open Web Platform, hasComponent, Selectors API]
-
A.
Selectors Level 4
chosen
Selectors Level 4 is a W3C CSS specification that extends and refines the set of selectors available to web authors for targeting elements in HTML and XML documents.
-
B.
Selectors Level 3
Selectors Level 3 is a W3C CSS specification that defines the syntax and behavior of selectors used to target elements in web documents for styling and scripting.
-
C.
DOM
The Document Object Model (DOM) is a platform- and language-neutral interface that represents structured documents like HTML and XML as a tree of objects, enabling programs and scripts to dynamically access and update their content and structure.
-
D.
DOM
DOM is the three-letter ISO 3166-1 alpha-3 country code assigned to the Dominican Republic.
-
E.
XSELECT
XSELECT is a software tool used by astronomers to interactively select, filter, and analyze high-energy astrophysics data from various space-based observatories.
- 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.