Triple
T4833434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messenger |
E107998
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Meta accounts |
E59925
|
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: Meta accounts | Statement: [Messenger, integratesWith, Meta accounts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meta accounts Context triple: [Messenger, integratesWith, Meta accounts]
-
A.
Meta Department
Meta Department is an administrative region in central Colombia known for its vast plains (Llanos), agriculture, and oil production.
-
B.
YouTube BrandConnect (in some regions)
YouTube BrandConnect is YouTube’s branded content and influencer marketing platform that connects creators with advertisers for paid brand integrations and sponsorships.
-
C.
Google Account
A Google Account is a unified user identity that provides access to Google's ecosystem of services and products, including email, cloud storage, and personalized settings.
-
D.
Social Point
Social Point is a mobile game development company best known for creating popular titles like Dragon City and Monster Legends.
-
E.
Meta
chosen
Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.