Triple

T13266239
Position Surface form Disambiguated ID Type / Status
Subject Aydın Province E315931 entity
Predicate containsDistrict P22582 FINISHED
Object Karacasu
Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
E1034488 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: Karacasu | Statement: [Aydın Province, containsDistrict, Karacasu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karacasu
Context triple: [Aydın Province, containsDistrict, Karacasu]
  • A. Derinkuyu
    Derinkuyu is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and capacity to shelter thousands of people.
  • B. Kartepe
    Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
  • C. Bağçasaray
    Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
  • D. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • E. Ortahisar
    Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
  • 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: Karacasu
Triple: [Aydın Province, containsDistrict, Karacasu]
Generated description
Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karacasu
Target entity description: Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
  • A. Derinkuyu
    Derinkuyu is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and capacity to shelter thousands of people.
  • B. Kartepe
    Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
  • C. Bağçasaray
    Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
  • D. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • E. Ortahisar
    Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f1c2bac81909ac13624f7972919 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f72018c4848190941732e3a938278a completed May 3, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_69f720bf04548190833af70061b017a1 completed May 3, 2026, 10:17 a.m.
Created at: April 9, 2026, 9:25 p.m.