Triple

T3842540
Position Surface form Disambiguated ID Type / Status
Subject İlhan Berk E93485 entity
Predicate familyName P18 FINISHED
Object Berk
Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
 E393562 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: Berk | Statement: [İlhan Berk, familyName, Berk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berk
Context triple: [İlhan Berk, familyName, Berk]
  • A. Berkley
    Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
  • B. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • C. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • D. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • E. Minley
    Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
  • 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: Berk
Triple: [İlhan Berk, familyName, Berk]
Generated description
Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berk
Target entity description: Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
  • A. Berkley
    Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
  • B. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • C. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • D. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • E. Minley
    Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:18 p.m.