Triple

T11364067
Position Surface form Disambiguated ID Type / Status
Subject Medgidia E269157 entity
Predicate formerName P65 FINISHED
Object Mecidiye
Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
 E922754 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: Mecidiye | Statement: [Medgidia, formerName, Mecidiye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mecidiye
Context triple: [Medgidia, formerName, Mecidiye]
  • A. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • B. Gaziantep
    Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
  • C. Kabataş
    Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
  • D. Bayraklı
    Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
  • E. Gölcük
    Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
  • 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: Mecidiye
Triple: [Medgidia, formerName, Mecidiye]
Generated description
Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mecidiye
Target entity description: Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
  • A. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • B. Gaziantep
    Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
  • C. Kabataş
    Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
  • D. Bayraklı
    Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
  • E. Gölcük
    Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bb3bd648190affa7ee85027c958 completed April 20, 2026, 2:13 a.m.
NEDg Description generation batch_69e59323c5948190bc2c9512f7b0a54f completed April 20, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69e599c53704819097c0fdbbfbbb1e87 completed April 20, 2026, 3:13 a.m.
Created at: April 8, 2026, 9:33 p.m.