Triple

T10986435
Position Surface form Disambiguated ID Type / Status
Subject 8chan E259641 entity
Predicate originalDomain P1902 FINISHED
Object 8chan.co E259641 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: 8chan.co | Statement: [8chan, originalDomain, 8chan.co]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 8chan.co
Context triple: [8chan, originalDomain, 8chan.co]
  • A. 8chan chosen
    8chan is an imageboard website known for its minimal moderation, anonymous posting, and association with extremist and fringe online communities.
  • B. 4chan
    4chan is an anonymous English-language imageboard website known for its influential, chaotic online culture and role in originating numerous internet memes and subcultures.
  • C. 2chan
    2chan, also known as 2channel, is a pioneering Japanese textboard forum that became hugely influential in shaping online anonymous culture and internet memes.
  • D. FARK
    FARK is the acronym for the Royal Cambodian Armed Forces, the national military organization responsible for Cambodia’s defense and security.
  • E. Reddit
    Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9644ff08190a3005e4f6a8243fe completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:24 p.m.