Triple

T12451259
Position Surface form Disambiguated ID Type / Status
Subject Söylev E297535 entity
Predicate relatedWork P37 FINISHED
Object Nutuk E61778 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: Nutuk | Statement: [Söylev, relatedWork, Nutuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nutuk
Context triple: [Söylev, relatedWork, Nutuk]
  • A. Nutuk chosen
    Nutuk is a monumental speech and historical account delivered by Mustafa Kemal Atatürk in 1927, detailing the Turkish War of Independence and the founding of the Republic of Turkey.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. Nukufetau
    Nukufetau is one of the atolls of Tuvalu in the central Pacific Ocean, known for its small, traditional Polynesian communities and lagoon environment.
  • D. Tanutamun
    Tanutamun was a Kushite pharaoh of Egypt’s 25th Dynasty, known for his attempts to restore Nubian control over Egypt before being driven south by Assyrian invasions.
  • E. Nastik
    Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66857f5c88190b72debe80fb87727 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:56 p.m.