Triple

T13768759
Position Surface form Disambiguated ID Type / Status
Subject Altındağ E330819 entity
Predicate containsPart P35 FINISHED
Object Önder
Önder is a neighborhood located within the Altındağ district of Ankara, Turkey.
E1059879 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: Önder | Statement: [Altındağ, containsPart, Önder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Önder
Context triple: [Altındağ, containsPart, Önder]
  • A. Orhan Arda
    Orhan Arda was a Turkish architect best known as one of the designers of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk in Ankara.
  • B. Serdar
    Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
  • C. Emin Onat
    Emin Onat was a prominent Turkish architect and academic, best known as a leading figure of modern Turkish architecture in the early Republican era.
  • D. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • E. Emre
    Emre is a Turkish surname and given name most notably associated with Yunus Emre, a revered 13th–14th century Sufi poet and mystic.
  • 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: Önder
Triple: [Altındağ, containsPart, Önder]
Generated description
Önder is a neighborhood located within the Altındağ district of Ankara, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Önder
Target entity description: Önder is a neighborhood located within the Altındağ district of Ankara, Turkey.
  • A. Orhan Arda
    Orhan Arda was a Turkish architect best known as one of the designers of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk in Ankara.
  • B. Serdar
    Serdar is a town in western Turkmenistan that serves as an administrative and transport hub in the Balkan Region.
  • C. Emin Onat
    Emin Onat was a prominent Turkish architect and academic, best known as a leading figure of modern Turkish architecture in the early Republican era.
  • D. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • E. Emre
    Emre is a Turkish surname and given name most notably associated with Yunus Emre, a revered 13th–14th century Sufi poet and mystic.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.