Triple

T15024914
Position Surface form Disambiguated ID Type / Status
Subject Celâl Bayar E378184 entity
Predicate familyName P18 FINISHED
Object Bayar
Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
 E1134315 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: Bayar | Statement: [Celâl Bayar, familyName, Bayar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayar
Context triple: [Celâl Bayar, familyName, Bayar]
  • A. La Paya
    La Paya is an important pre-Columbian archaeological site in northwest Argentina associated with the Calchaquí culture, known for its extensive ruins and artifacts.
  • B. Supay
    Supay is a deity from Andean mythology commonly associated with the underworld and the spirits of the dead.
  • C. Rahan
    Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
  • D. Baní
    Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
  • E. Paya
    Paya is a small settlement located within Panama’s Darién Province, known for its remote jungle environment and proximity to the Darién Gap.
  • 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: Bayar
Triple: [Celâl Bayar, familyName, Bayar]
Generated description
Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayar
Target entity description: Bayar is a Turkish surname most prominently associated with Celâl Bayar, the third President of Turkey and a key political figure in the early Turkish Republic.
  • A. La Paya
    La Paya is an important pre-Columbian archaeological site in northwest Argentina associated with the Calchaquí culture, known for its extensive ruins and artifacts.
  • B. Supay
    Supay is a deity from Andean mythology commonly associated with the underworld and the spirits of the dead.
  • C. Rahan
    Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
  • D. Baní
    Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
  • E. Paya
    Paya is a small settlement located within Panama’s Darién Province, known for its remote jungle environment and proximity to the Darién Gap.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd499108190b803c6afc0fa00bc completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea09ea0e081908daed335c734c8c0 completed May 9, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69fea0fd72508190a413f5bb07d1df28 completed May 9, 2026, 2:50 a.m.
Created at: April 10, 2026, 2:56 a.m.