Triple

T10321328
Position Surface form Disambiguated ID Type / Status
Subject Sayfo E242144 entity
Predicate hasNameInTurkish P15502 FINISHED
Object Seyfo E242145 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: Seyfo | Statement: [Sayfo, hasNameInTurkish, Seyfo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seyfo
Context triple: [Sayfo, hasNameInTurkish, Seyfo]
  • A. Seyfo chosen
    Seyfo is the Assyrian term for the World War I–era genocide in which the Ottoman Empire systematically massacred and deported Assyrian Christians in the Middle East.
  • B. Sekerpare
    Sekerpare is a traditional Turkish semolina cookie dessert soaked in lemony sugar syrup and commonly served on special occasions and family gatherings.
  • C. Suhraward
    Suhraward is a historic town in northwestern Iran known as the birthplace of several prominent medieval Islamic scholars and mystics.
  • D. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • E. Meykandar
    Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.