Triple

T3728536
Position Surface form Disambiguated ID Type / Status
Subject Yunus Emre E79006 entity
Predicate ethnicity P194 FINISHED
Object Turk E30386 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: Turk | Statement: [Yunus Emre, ethnicity, Turk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turk
Context triple: [Yunus Emre, ethnicity, Turk]
  • A. 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.
  • B. TURKISH
    TURKISH is the radio callsign used by Turkish Airlines, the national flag carrier airline of Turkey.
  • C. Turkish language
    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.
  • D. Turks chosen
    Turks are a Turkic ethnic group primarily associated with Turkey and other regions of the former Ottoman Empire, including parts of the Balkans.
  • E. Balkan Turkish
    Balkan Turkish is a regional variety of the Turkish language spoken by Turkish communities across several Balkan countries, influenced by local languages and cultures.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e45050819088f51d8161b31abb completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:34 p.m.