Triple

T16066547
Position Surface form Disambiguated ID Type / Status
Subject Omer E389746 entity
Predicate hasOrigin P26 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: [Omer, hasOrigin, Turkish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish language
Context triple: [Omer, hasOrigin, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837ca628819081dfc439fe322d58 completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe480d59c8190962ac596a872b5e0 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.