Triple

T10127400
Position Surface form Disambiguated ID Type / Status
Subject Common Turkic branch E226248 entity
Predicate includesLanguage P2177 FINISHED
Object Tofa
Tofa is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
 E841573 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: Tofa | Statement: [Common Turkic branch, includesLanguage, Tofa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tofa
Context triple: [Common Turkic branch, includesLanguage, Tofa]
  • A. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • B. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • C. Toffia
    Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
  • D. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • E. Termunten
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • 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: Tofa
Triple: [Common Turkic branch, includesLanguage, Tofa]
Generated description
Tofa is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tofa
Target entity description: Tofa is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
  • A. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • B. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • C. Toffia
    Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
  • D. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • E. Termunten
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2eef7388190b95ffd02814f2d1f completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc69a5c88190ab7b108e1aab20ba completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cd90fb888190833ca68dd644860d completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce02525881908a5394acb7967ba2 completed April 5, 2026, 9:02 p.m.
Created at: March 30, 2026, 9:05 p.m.