Triple

T7840495
Position Surface form Disambiguated ID Type / Status
Subject İzmir Province E181790 entity
Predicate contains P35 FINISHED
Object Kiraz
Kiraz is a rural district and town in western Turkey known for its agricultural production, particularly cherries, within İzmir Province.
E696153 NE FINISHED

How this triple was built (4 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: Kiraz | Statement: [İzmir Province, contains, Kiraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiraz
Context triple: [İzmir Province, contains, Kiraz]
  • A. Elmalı
    Elmalı is a historic inland town and district in southwestern Turkey known for its traditional architecture, cool climate, and apple cultivation.
  • B. Aycinena
    Aycinena is a prominent Guatemalan family name historically associated with a powerful conservative elite involved in politics, commerce, and colonial-era governance in Central America.
  • C. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • D. Pyrus
    Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
  • E. Kurma
    Kurma is the turtle incarnation of the Hindu god Vishnu, known for supporting Mount Mandara during the churning of the cosmic ocean.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kiraz
Triple: [İzmir Province, contains, Kiraz]
Generated description
Kiraz is a rural district and town in western Turkey known for its agricultural production, particularly cherries, within İzmir Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiraz
Target entity description: Kiraz is a rural district and town in western Turkey known for its agricultural production, particularly cherries, within İzmir Province.
  • A. Elmalı
    Elmalı is a historic inland town and district in southwestern Turkey known for its traditional architecture, cool climate, and apple cultivation.
  • B. Aycinena
    Aycinena is a prominent Guatemalan family name historically associated with a powerful conservative elite involved in politics, commerce, and colonial-era governance in Central America.
  • C. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • D. Pyrus
    Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
  • E. Kurma
    Kurma is the turtle incarnation of the Hindu god Vishnu, known for supporting Mount Mandara during the churning of the cosmic ocean.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb5def38e88190864d84abd7959aa3 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:47 p.m.