Triple

T10924853
Position Surface form Disambiguated ID Type / Status
Subject 4chan E258037 entity
Predicate hasPart P35 FINISHED
Object /ck/
/ck/ is 4chan’s food and cooking board, where users anonymously discuss recipes, culinary techniques, kitchen gear, and food culture.
 E894104 NE FINISHED

How this triple was built (4 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: /ck/ | Statement: [4chan, hasPart, /ck/]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: /ck/
Context triple: [4chan, hasPart, /ck/]
  • A. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • B. CCK
    CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
  • C. KCK
    KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
  • D. CHK
    CHK is the vehicle registration code assigned to the Chakwal district in Pakistan.
  • E. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: /ck/
Triple: [4chan, hasPart, /ck/]
Generated description
/ck/ is 4chan’s food and cooking board, where users anonymously discuss recipes, culinary techniques, kitchen gear, and food culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: /ck/
Target entity description: /ck/ is 4chan’s food and cooking board, where users anonymously discuss recipes, culinary techniques, kitchen gear, and food culture.
  • A. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • B. CCK
    CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
  • C. KCK
    KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
  • D. CHK
    CHK is the vehicle registration code assigned to the Chakwal district in Pakistan.
  • E. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • F. None of above. chosen

Provenance (5 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.