Triple

T5238793
Position Surface form Disambiguated ID Type / Status
Subject Kocaeli Province E118288 entity
Predicate hasCity P316 FINISHED
Object Kandıra
Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
 E505645 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: Kandıra | Statement: [Kocaeli Province, hasCity, Kandıra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kandıra
Context triple: [Kocaeli Province, hasCity, Kandıra]
  • A. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • B. Jérica
    Jérica is a historic municipality in the province of Castellón, in Spain’s Valencian Community, known for its medieval architecture and prominent Mudejar-style bell tower.
  • C. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • D. Dravograd
    Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
  • E. Kocani
    Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • 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: Kandıra
Triple: [Kocaeli Province, hasCity, Kandıra]
Generated description
Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kandıra
Target entity description: Kandıra is a coastal town and district in northwestern Turkey known for its Black Sea beaches and rural landscapes within Kocaeli Province.
  • A. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • B. Jérica
    Jérica is a historic municipality in the province of Castellón, in Spain’s Valencian Community, known for its medieval architecture and prominent Mudejar-style bell tower.
  • C. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • D. Dravograd
    Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
  • E. Kocani
    Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef823afd88190a3a41e7fff09d449 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef933c4008190bea3a5a7e5de17e6 completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9a600908190bdaff60b7a514538 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:49 p.m.