Triple

T13251156
Position Surface form Disambiguated ID Type / Status
Subject M1 line E315531 entity
Predicate hasLocale P387 FINISHED
Object Turkish language 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 language | Statement: [M1 line, hasLocale, Turkish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish language
Context triple: [M1 line, hasLocale, Turkish language]
  • A. 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.
  • B. Turkish
    Turkish is a Turkic language primarily spoken in Turkey and Northern Cyprus, and by Turkish communities across Europe and the Middle East.
  • 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 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.
  • E. 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.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f17ba9081909929201be937c2cf completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:24 p.m.