Triple

T5614156
Position Surface form Disambiguated ID Type / Status
Subject Ahmet E147433 entity
Predicate scriptInTurkish P64665 FINISHED
Object Ahmet E147433 NE FINISHED

How this triple was built (3 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: Ahmet | Statement: [Ahmet, scriptInTurkish, Ahmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmet
Context triple: [Ahmet, scriptInTurkish, Ahmet]
  • A. Ahmet chosen
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • B. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • C. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • D. İsmet
    İsmet is a Turkish given name most famously borne by İsmet İnönü, a prominent statesman and the second President of Turkey.
  • E. Ismail Ankaravi
    Ismail Ankaravi was an Ottoman-era Mevlevi scholar and Sufi commentator best known for his influential exegesis on Rumi’s Mathnawi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptInTurkish
Context triple: [Ahmet, scriptInTurkish, Ahmet]
  • A. languageNameInTurkish
    Indicates that the predicate specifies the name of a given language as it is written or spoken in Turkish.
  • B. nameInTurkish
    Indicates that an entity is known or referred to by a specific name in the Turkish language.
  • C. script
    Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
  • D. scriptDirection
    Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
  • E. scriptWriter
    Indicates that one entity is the person who wrote or authored the script associated with another entity.
  • F. None of above. chosen

Provenance (5 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097cc15348190b4db6db00f9b9faf completed March 23, 2026, 1:30 a.m.
PD Predicate disambiguation batch_69c01b1b3c98819080687d18ab10a914 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0684908190ae2d14f0bd2ab892 completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:39 p.m.