Triple

T9100101
Position Surface form Disambiguated ID Type / Status
Subject International Organization of Turkic Culture E218129 entity
Predicate abbreviation P43 FINISHED
Object TÜRKSOY
TÜRKSOY is an international cultural organization that promotes cooperation, shared heritage, and cultural exchange among Turkic-speaking countries and communities.
 E778156 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: TÜRKSOY | Statement: [International Organization of Turkic Culture, abbreviation, TÜRKSOY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TÜRKSOY
Context triple: [International Organization of Turkic Culture, abbreviation, TÜRKSOY]
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • C. Tahsin Özgüç
    Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
  • D. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Ozan Tufan
    Ozan Tufan is a Turkish professional footballer, primarily a midfielder, who has played for clubs such as Bursaspor and Fenerbahçe as well as the Turkey national team.
  • 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: TÜRKSOY
Triple: [International Organization of Turkic Culture, abbreviation, TÜRKSOY]
Generated description
TÜRKSOY is an international cultural organization that promotes cooperation, shared heritage, and cultural exchange among Turkic-speaking countries and communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TÜRKSOY
Target entity description: TÜRKSOY is an international cultural organization that promotes cooperation, shared heritage, and cultural exchange among Turkic-speaking countries and communities.
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • C. Tahsin Özgüç
    Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
  • D. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Ozan Tufan
    Ozan Tufan is a Turkish professional footballer, primarily a midfielder, who has played for clubs such as Bursaspor and Fenerbahçe as well as the Turkey national team.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9711babc8190a336812dd08d9c73 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0182d8ea08190b4337a77b47019a5 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019666cb08190b66298ff86a7e1af completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a700ce48190868d445bde2462dc completed April 3, 2026, 7:52 p.m.
Created at: March 30, 2026, 7:15 p.m.