Triple
T12282298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapier |
E292742
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | HubSpot |
E292741
|
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: HubSpot | Statement: [Zapier, connectsWith, HubSpot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HubSpot Context triple: [Zapier, connectsWith, HubSpot]
-
A.
HubSpot
chosen
HubSpot is a leading customer relationship management (CRM) and marketing automation platform that helps businesses attract, engage, and retain customers.
-
B.
Zoho CRM
Zoho CRM is a cloud-based customer relationship management platform designed to help businesses manage sales, marketing, and customer support in a unified system.
-
C.
Jetpack CRM
Jetpack CRM is a customer relationship management plugin for WordPress designed to help site owners manage leads, contacts, and sales directly from their dashboards.
-
D.
Marketo
Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
-
E.
Base CRM
Base CRM was a sales-focused customer relationship management platform known for its intuitive interface and mobile-first design, later integrated into Zendesk’s product suite after acquisition.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63464486c819085452675a43785b1 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.