Triple

T12654073
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
 E1003877 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: Tchaman | Statement: [Central Tano, hasLanguage, Tchaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tchaman
Context triple: [Central Tano, hasLanguage, Tchaman]
  • A. Khorta
    Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • D. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • E. Chamkani
    Chamkani is a Pashtun tribe traditionally associated with the Karlani tribal confederation in the Afghanistan–Pakistan border region.
  • 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: Tchaman
Triple: [Central Tano, hasLanguage, Tchaman]
Generated description
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tchaman
Target entity description: Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
  • A. Khorta
    Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • D. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • E. Chamkani
    Chamkani is a Pashtun tribe traditionally associated with the Karlani tribal confederation in the Afghanistan–Pakistan border region.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ead66bc819099c8d274d69a2022 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68fdd389881909e2132e3ce95d553 completed May 2, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:18 p.m.