Triple
T19704039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinboard |
E473164
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Diigo |
—
|
NE NERFINISHED |
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: Diigo | Statement: [Pinboard, competesWith, Diigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diigo Context triple: [Pinboard, competesWith, Diigo]
-
A.
Diigo
chosen
Diigo is a social bookmarking and web annotation service that lets users save, tag, highlight, and share online resources.
-
B.
del.icio.us
del.icio.us was a pioneering social bookmarking web service that allowed users to save, tag, and share links online.
-
C.
Evernote
Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
-
D.
Pinboard
Pinboard is a minimalist, subscription-based social bookmarking service known for its fast, no-frills interface and emphasis on privacy and long-term archiving of saved links.
-
E.
Mendeley
Mendeley is a reference manager and academic social network that helps researchers organize papers, generate citations, and collaborate online.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b8707081908fbf96c989d2d52d |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.