Triple

T8340721
Position Surface form Disambiguated ID Type / Status
Subject Ebba Busch E195902 entity
Predicate socialMediaPlatform P57 FINISHED
Object Facebook E1582 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: Facebook | Statement: [Ebba Busch, socialMediaPlatform, Facebook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook
Context triple: [Ebba Busch, socialMediaPlatform, Facebook]
  • A. Facebook chosen
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • B. Facebook Portal
    Facebook Portal is a line of smart video-calling devices developed by Meta (formerly Facebook), designed to facilitate hands-free, AI-enhanced communication in the home.
  • C. Meta Platforms, Inc.
    Meta Platforms, Inc. is a major American technology company best known as the parent of Facebook, Instagram, WhatsApp, and other social media and virtual reality products.
  • D. Bebo
    Bebo is a now-defunct social networking website that was especially popular in the mid-2000s for sharing profiles, photos, and messages among friends.
  • E. FB
    FB is the common abbreviation for Fenerbahçe SK, one of Turkey’s most prominent multi-sport clubs best known for its successful football team based in Istanbul.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.