Triple
T12305099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiverr (offices) |
E293332
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Fiverr |
E293332
|
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: Fiverr | Statement: [Fiverr (offices), associatedWith, Fiverr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiverr Context triple: [Fiverr (offices), associatedWith, Fiverr]
-
A.
Fiverr (offices)
chosen
Fiverr (offices) refers to the physical office locations of the global online freelance services marketplace company Fiverr.
-
B.
Behance
Behance is an online platform for showcasing and discovering creative work, widely used by designers, artists, and other visual professionals.
-
C.
Etsy
Etsy is an online marketplace specializing in handmade, vintage, and unique factory-manufactured items, connecting independent sellers with buyers worldwide.
-
D.
Snapcraft
Snapcraft is Canonical's software packaging and distribution platform for building and publishing containerized "snap" applications across multiple Linux distributions.
-
E.
GrabMart
GrabMart is an on-demand online grocery and everyday essentials delivery service operated by Southeast Asian super-app Grab.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f00695c8190b7365e4593631690 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7f8fd08190bdef3bb761d53f97 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.