Triple

T9815427
Position Surface form Disambiguated ID Type / Status
Subject Sakarya Province E238390 entity
Predicate hasCity P316 FINISHED
Object Geyve
Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
 E823356 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: Geyve | Statement: [Sakarya Province, hasCity, Geyve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geyve
Context triple: [Sakarya Province, hasCity, Geyve]
  • A. Geyre
    Geyre is a village in southwestern Turkey known as the modern settlement near the ancient Greco-Roman city of Aphrodisias.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • D. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • E. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • 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: Geyve
Triple: [Sakarya Province, hasCity, Geyve]
Generated description
Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geyve
Target entity description: Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
  • A. Geyre
    Geyre is a village in southwestern Turkey known as the modern settlement near the ancient Greco-Roman city of Aphrodisias.
  • B. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • C. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • D. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • E. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.