Triple

T4213148
Position Surface form Disambiguated ID Type / Status
Subject Cameroonian Pidgin English E93951 entity
Predicate alsoKnownAs P39 FINISHED
Object Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
 E422140 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: Kamtok | Statement: [Cameroonian Pidgin English, alsoKnownAs, Kamtok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamtok
Context triple: [Cameroonian Pidgin English, alsoKnownAs, Kamtok]
  • A. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • B. Koya
    Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
  • C. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • D. Kato Mani
    Kato Mani is a subregion of Greece’s Mani Peninsula, known for its traditional stone villages, rugged landscapes, and preserved Peloponnesian heritage.
  • E. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • 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: Kamtok
Triple: [Cameroonian Pidgin English, alsoKnownAs, Kamtok]
Generated description
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamtok
Target entity description: Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
  • A. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • B. Koya
    Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
  • C. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • D. Kato Mani
    Kato Mani is a subregion of Greece’s Mani Peninsula, known for its traditional stone villages, rugged landscapes, and preserved Peloponnesian heritage.
  • E. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be585848190b0b177b5516f53c1 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59634e52c81908cb967f124a96950 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b5982450f08190a8b20faaec5bd617 completed March 14, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_69b5989c95b88190a1a917f04c4cd2e5 completed March 14, 2026, 5:19 p.m.
Created at: March 12, 2026, 11:04 p.m.