Triple

T4585481
Position Surface form Disambiguated ID Type / Status
Subject Gaziantep Archaeology Museum E101956 entity
Predicate nearbyCity P350 FINISHED
Object Şahinbey
Şahinbey is a central district and municipality of Gaziantep in southeastern Turkey, known as a major urban and commercial area of the city.
 E474061 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: Şahinbey | Statement: [Gaziantep Archaeology Museum, nearbyCity, Şahinbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Şahinbey
Context triple: [Gaziantep Archaeology Museum, nearbyCity, Şahinbey]
  • A. Cihanbeyli
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • C. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • 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. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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: Şahinbey
Triple: [Gaziantep Archaeology Museum, nearbyCity, Şahinbey]
Generated description
Şahinbey is a central district and municipality of Gaziantep in southeastern Turkey, known as a major urban and commercial area of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Şahinbey
Target entity description: Şahinbey is a central district and municipality of Gaziantep in southeastern Turkey, known as a major urban and commercial area of the city.
  • A. Cihanbeyli
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • B. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • C. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • 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. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59056bb48190ba1e0b5beda9bdc4 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c76788c8190b6b9dfe008957222 completed March 21, 2026, 8:53 a.m.
NEDg Description generation batch_69be5f40ff8081909614bcd3b2116e3f completed March 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_69be5f8ccc1c8190910f13bcf9d2ab9a completed March 21, 2026, 9:06 a.m.
Created at: March 20, 2026, 1:10 p.m.