Triple
T16384827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatizit |
E397893
|
entity |
| Predicate | webServiceAccess |
P48657
|
FINISHED |
| Object | REST |
E183290
|
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: REST | Statement: [Whatizit, webServiceAccess, REST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REST Context triple: [Whatizit, webServiceAccess, REST]
-
A.
REST
REST is an FTP command used to specify a restart point for resuming interrupted file transfers.
-
B.
REST API
chosen
A REST API is a web service interface that allows clients to interact with resources over HTTP using standard methods like GET, POST, PUT, and DELETE in a stateless, structured way.
-
C.
Restout
Restout is a French surname associated with a notable family of painters active from the 17th to 18th centuries.
-
D.
RESTCONF
RESTCONF is a RESTful protocol defined by the IETF for accessing and managing configuration and operational data on network devices using YANG data models.
-
E.
Clouds Rest
Clouds Rest is a prominent granite peak in Yosemite National Park known for its sweeping panoramic views over Yosemite Valley and Half Dome.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263c60088190b85a8c02bc3ef315 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356cf44081909133b599cfe9ed4a |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.