Triple

T2472516
Position Surface form Disambiguated ID Type / Status
Subject Kadıköy E55009 entity
Predicate contains P35 FINISHED
Object Söğütlüçeşme
Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
 E270574 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: Söğütlüçeşme | Statement: [Kadıköy, contains, Söğütlüçeşme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Söğütlüçeşme
Context triple: [Kadıköy, contains, Söğütlüçeşme]
  • A. Söğüt
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • B. Kenderes
    Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
  • C. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • E. Hasköy
    Hasköy is a historic neighborhood on the European side of Istanbul, known for its multicultural past and its location along the Golden Horn.
  • 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: Söğütlüçeşme
Triple: [Kadıköy, contains, Söğütlüçeşme]
Generated description
Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Söğütlüçeşme
Target entity description: Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • A. Söğüt
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • B. Kenderes
    Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
  • C. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • E. Hasköy
    Hasköy is a historic neighborhood on the European side of Istanbul, known for its multicultural past and its location along the Golden Horn.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd138872481908184e06d3584718e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a5bb04819090b3156a9819b87d completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1aca9a5081909e3a1b810b61e19d completed March 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69af1b45a30c8190a3555fea9c03e343 completed March 9, 2026, 7:11 p.m.
Created at: March 6, 2026, 9:45 p.m.