Triple

T3951595
Position Surface form Disambiguated ID Type / Status
Subject Chadic languages E84876 entity
Predicate majorLanguage P207 FINISHED
Object Masa
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
 E402506 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: Masa | Statement: [Chadic languages, majorLanguage, Masa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masa
Context triple: [Chadic languages, majorLanguage, Masa]
  • A. Masass
    Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
  • B. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • C. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • E. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • 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: Masa
Triple: [Chadic languages, majorLanguage, Masa]
Generated description
Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masa
Target entity description: Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
  • A. Masass
    Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
  • B. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • C. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • E. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9384cdc8190ad89b32dc25ac1d7 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a80d4c8190bb1aac1b2900d9a8 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5341fb74081909a33753e5fdd5c32 completed March 14, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69b534d279548190bee44aea7828ed3b completed March 14, 2026, 10:13 a.m.
Created at: March 9, 2026, 3:30 p.m.