Triple

T9729539
Position Surface form Disambiguated ID Type / Status
Subject Melih Gökçek E235702 entity
Predicate givenName P17 FINISHED
Object Melih
Melih is a Turkish given name most notably borne by long-serving Ankara mayor Melih Gökçek.
 E817504 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: Melih | Statement: [Melih Gökçek, givenName, Melih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melih
Context triple: [Melih Gökçek, givenName, Melih]
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • C. Elmalı
    Elmalı is a historic inland town and district in southwestern Turkey known for its traditional architecture, cool climate, and apple cultivation.
  • D. Melenki
    Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
  • E. Meleys
    Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
  • 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: Melih
Triple: [Melih Gökçek, givenName, Melih]
Generated description
Melih is a Turkish given name most notably borne by long-serving Ankara mayor Melih Gökçek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melih
Target entity description: Melih is a Turkish given name most notably borne by long-serving Ankara mayor Melih Gökçek.
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • C. Elmalı
    Elmalı is a historic inland town and district in southwestern Turkey known for its traditional architecture, cool climate, and apple cultivation.
  • D. Melenki
    Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
  • E. Meleys
    Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb5f5bc8190ae53bc5c165b5ac7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a482c0bc81908c3c7ae7c2f19473 completed April 4, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_69d1a83336308190acb209223da11766 completed April 5, 2026, 12:09 a.m.
Created at: March 30, 2026, 8:21 p.m.