Triple

T6771195
Position Surface form Disambiguated ID Type / Status
Subject Avatime language E155045 entity
Predicate alternateName P39 FINISHED
Object Siya
Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
E617307 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: Siya | Statement: [Avatime language, alternateName, Siya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siya
Context triple: [Avatime language, alternateName, Siya]
  • A. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • B. Sikyona
    Sikyona is a municipality in the regional unit of Corinthia in the northeastern Peloponnese region of Greece, known for its agricultural landscape and proximity to the Gulf of Corinth.
  • C. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • D. Ilai
    Ilai is an early Jewish sage known primarily as the father of the prominent Tanna Rabbi Yehuda ben Ilai.
  • E. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • 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: Siya
Triple: [Avatime language, alternateName, Siya]
Generated description
Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siya
Target entity description: Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
  • A. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • B. Sikyona
    Sikyona is a municipality in the regional unit of Corinthia in the northeastern Peloponnese region of Greece, known for its agricultural landscape and proximity to the Gulf of Corinth.
  • C. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • D. Ilai
    Ilai is an early Jewish sage known primarily as the father of the prominent Tanna Rabbi Yehuda ben Ilai.
  • E. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.