Triple

T11114983
Position Surface form Disambiguated ID Type / Status
Subject Kotoko E262863 entity
Predicate traditionalLanguage P6149 FINISHED
Object Lagwan language
The Lagwan language is a Chadic language spoken by the Kotoko people of the Lake Chad region in Cameroon and Chad.
E905183 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: Lagwan language | Statement: [Kotoko, traditionalLanguage, Lagwan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagwan language
Context triple: [Kotoko, traditionalLanguage, Lagwan language]
  • A. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • E. Laha language
    The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
  • 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: Lagwan language
Triple: [Kotoko, traditionalLanguage, Lagwan language]
Generated description
The Lagwan language is a Chadic language spoken by the Kotoko people of the Lake Chad region in Cameroon and Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lagwan language
Target entity description: The Lagwan language is a Chadic language spoken by the Kotoko people of the Lake Chad region in Cameroon and Chad.
  • A. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • E. Laha language
    The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa7254c8190abce35696ad2be03 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7da99881908d38ea66c37dfb92 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42e67724481908bd9e73487a80d44 completed April 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69e4308103c48190b32ee3047d9a0860 completed April 19, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:27 p.m.