Triple

T30572590
Position Surface form Disambiguated ID Type / Status
Subject TÜRKSOY E778156 entity
Predicate initiatedProgram P10634 FINISHED
Object Cultural Capital of the Turkic World NE NERFINISHED

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: Cultural Capital of the Turkic World | Statement: [TÜRKSOY, initiatedProgram, Cultural Capital of the Turkic World]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initiatedProgram
Context triple: [TÜRKSOY, initiatedProgram, Cultural Capital of the Turkic World]
  • A. initiatedUnderProgram
    Indicates that an action or process was started as part of, or in accordance with, a specific program or initiative.
  • B. initiatedIn
    Indicates that an action, process, or event was started or first brought into effect within a specified context, such as a place, time, or situation.
  • C. intendedProgram
    Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
  • D. implementedProgram
    Indicates that an entity has created, developed, or put into operation a particular program or software system.
  • E. establishedProgram chosen
    Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
  • F. None of above.

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 8:22 p.m.