Triple

T13918099
Position Surface form Disambiguated ID Type / Status
Subject Muhakamat al-Lughatayn E334672 entity
Predicate field P3 FINISHED
Object Turkology E233994 NE FINISHED

How this triple was built (2 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: Turkology | Statement: [Muhakamat al-Lughatayn, field, Turkology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkology
Context triple: [Muhakamat al-Lughatayn, field, Turkology]
  • A. Turkology chosen
    Turkology is an academic field that focuses on the languages, history, culture, and literature of Turkic-speaking peoples.
  • B. Turkic aspectology
    Turkic aspectology is the field of linguistic study that examines how aspect—such as the distinction between completed and ongoing actions—is expressed in Turkic languages.
  • C. Anatolian studies
    Anatolian studies is an academic field focused on the languages, history, and cultures of ancient Anatolia, particularly the Anatolian branch of the Indo-European language family.
  • D. Semasiologische Untersuchungen zur türkischen Lexik
    "Semasiologische Untersuchungen zur türkischen Lexik" is a scholarly linguistic study by Gerhard Doerfer that analyzes the semantics and lexical structure of the Turkish language.
  • E. Slavic studies
    Slavic studies is an academic field that focuses on the languages, literatures, histories, and cultures of Slavic-speaking peoples of Eastern and Central Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.