Triple
T1611443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premium Career |
E34622
|
entity |
| Predicate | availableOn |
P1278
|
FINISHED |
| Object | LinkedIn mobile app |
E5698
|
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: LinkedIn mobile app | Statement: [Premium Career, availableOn, LinkedIn mobile app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LinkedIn mobile app Context triple: [Premium Career, availableOn, LinkedIn mobile app]
-
A.
LinkedIn
chosen
LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
-
B.
STM mobile app
STM mobile app is the official mobile application of Montréal’s public transit agency, providing users with tools to plan trips, check schedules, and access real-time transit information.
-
C.
WhatsApp
WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
-
D.
AppExchange
AppExchange is Salesforce’s online marketplace for third-party business applications and integrations built on or for the Salesforce platform.
-
E.
Google app
The Google app is a mobile application by Google that provides integrated search, personalized information, and smart assistant features on Android and iOS devices.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622b9fbc8190bff82acdde10deb6 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c751308190a89f6462ee365418 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.