Triple

T10036411
Position Surface form Disambiguated ID Type / Status
Subject Colchidian languages E205180 entity
Predicate subjectToLanguageShiftTowards P43833 FINISHED
Object Turkish E2737 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: Turkish | Statement: [Colchidian languages, subjectToLanguageShiftTowards, Turkish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish
Context triple: [Colchidian languages, subjectToLanguageShiftTowards, Turkish]
  • A. TURKISH
    TURKISH is the radio callsign used by Turkish Airlines, the national flag carrier airline of Turkey.
  • B. Turk
    Turk is a central character in the "Good Vibes" animated series, known for his laid-back surfer persona and comedic role in the show's coastal teen setting.
  • C. Turk
    Turk is an American rapper best known as a member of the New Orleans hip hop group the Hot Boys alongside Lil Wayne, Juvenile, and B.G.
  • D. Turk
    Turk is the affable, high-energy surgeon from the television series "Scrubs," known for his close friendship with J.D. and his comedic, dance-loving personality.
  • E. Turkish language chosen
    Turkish is a Turkic language primarily spoken in Turkey and Cyprus, known for its vowel harmony, agglutinative grammar, and modern standard form established after Atatürk’s language reforms.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4bb3408190ac5dae4718ef7cad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a2cbdd08190b1ef7602ad160114 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.