Triple

T3167411
Position Surface form Disambiguated ID Type / Status
Subject OSCAR E66244 entity
Predicate usedInService P25490 FINISHED
Object ICQ E12432 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: ICQ | Statement: [OSCAR, usedInService, ICQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICQ
Context triple: [OSCAR, usedInService, ICQ]
  • A. ICQ chosen
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • B. AOL Instant Messenger
    AOL Instant Messenger was a pioneering late-1990s and early-2000s instant messaging service that popularized online chat and status-based communication for mainstream internet users.
  • C. IRC
    IRC (Internet Relay Chat) is a long-standing, text-based communication protocol that enables real-time group and private messaging over the internet via channels and servers.
  • D. IRC
    IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
  • E. Apple iChat
    Apple iChat is Apple’s former instant messaging and video chat application for macOS that integrated AIM, Jabber, and later FaceTime-style communication features.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.