Triple

T11979155
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Izmir E285111 entity
Predicate majorCityOnShore P969 FINISHED
Object Karsiyaka
Karsiyaka is a coastal district and residential-commercial hub of the city of İzmir in western Turkey, known for its lively waterfront and urban amenities along the Gulf of İzmir.
E958026 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: Karsiyaka | Statement: [Gulf of Izmir, majorCityOnShore, Karsiyaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karsiyaka
Context triple: [Gulf of Izmir, majorCityOnShore, Karsiyaka]
  • A. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • D. Wukari
    Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
  • E. Karaikal
    Karaikal is a coastal town and district of the Union Territory of Puducherry in southeastern India, known for its strategic port and location along the Bay of Bengal.
  • 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: Karsiyaka
Triple: [Gulf of Izmir, majorCityOnShore, Karsiyaka]
Generated description
Karsiyaka is a coastal district and residential-commercial hub of the city of İzmir in western Turkey, known for its lively waterfront and urban amenities along the Gulf of İzmir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karsiyaka
Target entity description: Karsiyaka is a coastal district and residential-commercial hub of the city of İzmir in western Turkey, known for its lively waterfront and urban amenities along the Gulf of İzmir.
  • A. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Kariya
    Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
  • D. Wukari
    Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
  • E. Karaikal
    Karaikal is a coastal town and district of the Union Territory of Puducherry in southeastern India, known for its strategic port and location along the Bay of Bengal.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47209bd088190bf4c7687c0a5eed6 completed May 1, 2026, 9:27 a.m.
NEDg Description generation batch_69f47b7ac4048190ae09f18f1a90338f completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47db91f38819092b7b5c5e2bb489b completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.