Triple

T13802106
Position Surface form Disambiguated ID Type / Status
Subject Zynga E331665 entity
Predicate platform P1292 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: [Zynga, platform, Facebook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook
Context triple: [Zynga, platform, 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. Facebook MPK21
    Facebook MPK21 is a large, Frank Gehry–designed office building on Meta’s Menlo Park campus that serves as one of the company’s primary headquarters spaces.
  • D. 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.
  • E. Facebook Pages
    Facebook Pages are public profiles on the Facebook platform that enable businesses, organizations, public figures, and creators to share content, engage with audiences, and manage their online presence.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.