Triple

T11578412
Position Surface form Disambiguated ID Type / Status
Subject Kru languages E274562 entity
Predicate hasMember P10 FINISHED
Object Sapo language
Sapo language is a Kru language spoken by the Sapo people of Liberia.
 E934545 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: Sapo language | Statement: [Kru languages, hasMember, Sapo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sapo language
Context triple: [Kru languages, hasMember, Sapo language]
  • A. Kacipo-Bale language
    The Kacipo-Bale language is a Surmic language spoken by the Kacipo and Bale peoples of southwestern Ethiopia and neighboring regions of South Sudan.
  • B. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • C. Sakao language
    The Sakao language is an Oceanic language spoken on Espiritu Santo Island in Vanuatu, known for its complex phonology and rich system of verbal morphology.
  • D. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • E. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • 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: Sapo language
Triple: [Kru languages, hasMember, Sapo language]
Generated description
Sapo language is a Kru language spoken by the Sapo people of Liberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sapo language
Target entity description: Sapo language is a Kru language spoken by the Sapo people of Liberia.
  • A. Kacipo-Bale language
    The Kacipo-Bale language is a Surmic language spoken by the Kacipo and Bale peoples of southwestern Ethiopia and neighboring regions of South Sudan.
  • B. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • C. Sakao language
    The Sakao language is an Oceanic language spoken on Espiritu Santo Island in Vanuatu, known for its complex phonology and rich system of verbal morphology.
  • D. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • E. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.