Triple

T12644090
Position Surface form Disambiguated ID Type / Status
Subject Bilal Erdoğan E301974 entity
Predicate memberOf P10 FINISHED
Object TÜGVA
TÜGVA is a pro-government Turkish youth foundation closely associated with President Erdoğan’s circle and influential in conservative educational and social activities.
E994290 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: TÜGVA | Statement: [Bilal Erdoğan, memberOf, TÜGVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TÜGVA
Context triple: [Bilal Erdoğan, memberOf, TÜGVA]
  • A. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • B. Dazhbog
    Dazhbog is a major Slavic sun god often associated with prosperity, justice, and the granting of fortune to humanity.
  • C. Svetovid
    Svetovid is a major Slavic deity, often depicted with four heads and associated with war, abundance, and prophecy.
  • D. Ukko
    Ukko is the chief sky and thunder god in Finnish mythology, associated with weather, harvests, and the protection of people.
  • E. Taurt
    Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
  • 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: TÜGVA
Triple: [Bilal Erdoğan, memberOf, TÜGVA]
Generated description
TÜGVA is a pro-government Turkish youth foundation closely associated with President Erdoğan’s circle and influential in conservative educational and social activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TÜGVA
Target entity description: TÜGVA is a pro-government Turkish youth foundation closely associated with President Erdoğan’s circle and influential in conservative educational and social activities.
  • A. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • B. Dazhbog
    Dazhbog is a major Slavic sun god often associated with prosperity, justice, and the granting of fortune to humanity.
  • C. Svetovid
    Svetovid is a major Slavic deity, often depicted with four heads and associated with war, abundance, and prophecy.
  • D. Ukko
    Ukko is the chief sky and thunder god in Finnish mythology, associated with weather, harvests, and the protection of people.
  • E. Taurt
    Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6695372688190b09a2bb2e58cb546 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 9, 2026, 5:17 p.m.