Triple
T10328394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Referrer Policy specification |
E242817
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Fetch specification |
E48500
|
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: Fetch specification | Statement: [Referrer Policy specification, relatedTo, Fetch specification]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fetch specification Context triple: [Referrer Policy specification, relatedTo, Fetch specification]
-
A.
Fetch Standard
chosen
The Fetch Standard is a web platform specification that defines a modern, unified API and processing model for fetching resources (such as HTTP requests and responses) across browsers and other environments.
-
B.
EFetch
EFetch is an NCBI E-utilities web service that retrieves full records from NCBI databases in various formats based on supplied identifiers.
-
C.
Specs
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
-
D.
Specification P.13/36
Specification P.13/36 was a British Air Ministry requirement issued in the 1930s that led to the development of the Handley Page Halifax heavy bomber.
-
E.
Query Service
Query Service is a component of Wikibase that provides a powerful SPARQL-based interface for querying and analyzing structured data stored in Wikibase instances.
- 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_69d4d7cf21e08190bf605daeea0d9dcf |
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.