Triple

T2846261
Position Surface form Disambiguated ID Type / Status
Subject Karşıyaka Tram E62990 entity
Predicate serves P98 FINISHED
Object Alaybey
Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
 E303194 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: Alaybey | Statement: [Karşıyaka Tram, serves, Alaybey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alaybey
Context triple: [Karşıyaka Tram, serves, Alaybey]
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Khulays
    Khulays is a town in western Saudi Arabia situated within the Makkah administrative region.
  • D. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • E. Emine
    Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
  • 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: Alaybey
Triple: [Karşıyaka Tram, serves, Alaybey]
Generated description
Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alaybey
Target entity description: Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Khulays
    Khulays is a town in western Saudi Arabia situated within the Makkah administrative region.
  • D. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • E. Emine
    Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf3d00708190966a477fdd855f23 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8dbdff88190b6c46cfd6ef54bb8 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe9ac2e94819095513eab63b60dc4 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b002c3187481909c0e352d5902a468 completed March 10, 2026, 11:38 a.m.
Created at: March 6, 2026, 10:02 p.m.