Triple

T4213257
Position Surface form Disambiguated ID Type / Status
Subject Talysh E93953 entity
Predicate autonym P1435 FINISHED
Object Toliš
Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
 E422146 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: Toliš | Statement: [Talysh, autonym, Toliš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toliš
Context triple: [Talysh, autonym, Toliš]
  • A. Tiso
    Tiso is the surname of Jozef Tiso, the Slovak Catholic priest and politician who led the Nazi-aligned Slovak Republic during World War II.
  • B. Tuchan
    Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
  • C. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • D. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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: Toliš
Triple: [Talysh, autonym, Toliš]
Generated description
Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toliš
Target entity description: Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
  • A. Tiso
    Tiso is the surname of Jozef Tiso, the Slovak Catholic priest and politician who led the Nazi-aligned Slovak Republic during World War II.
  • B. Tuchan
    Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
  • C. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • D. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be585848190b0b177b5516f53c1 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59634e52c81908cb967f124a96950 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b5982450f08190a8b20faaec5bd617 completed March 14, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_69b5989c95b88190a1a917f04c4cd2e5 completed March 14, 2026, 5:19 p.m.
Created at: March 12, 2026, 11:04 p.m.