Triple

T12407667
Position Surface form Disambiguated ID Type / Status
Subject Berat Albayrak E296428 entity
Predicate familyName P18 FINISHED
Object Albayrak
Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
E980811 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: Albayrak | Statement: [Berat Albayrak, familyName, Albayrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albayrak
Context triple: [Berat Albayrak, familyName, Albayrak]
  • A. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • B. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • C. Baskil
    Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
  • D. Sarıoğlan
    Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
  • E. Bozkurtlar
    Bozkurtlar is the Turkish name for the Grey Wolves, a Turkish ultranationalist organization known for its far-right ideology and militant activities.
  • 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: Albayrak
Triple: [Berat Albayrak, familyName, Albayrak]
Generated description
Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albayrak
Target entity description: Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
  • A. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • B. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • C. Baskil
    Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
  • D. Sarıoğlan
    Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
  • E. Bozkurtlar
    Bozkurtlar is the Turkish name for the Grey Wolves, a Turkish ultranationalist organization known for its far-right ideology and militant activities.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.