Triple

T2846266
Position Surface form Disambiguated ID Type / Status
Subject Konak Tram E62990 entity
Predicate serves P98 FINISHED
Object Halkapınar
Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
 E303195 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: Halkapınar | Statement: [Konak Tram, serves, Halkapınar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halkapınar
Context triple: [Konak Tram, serves, Halkapınar]
  • A. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • B. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • C. Qara Köz
    Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
  • D. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • E. Cumalıkızık
    Cumalıkızık is a well-preserved historic Ottoman village near Bursa in Turkey, renowned for its traditional timber-and-stone houses and cobbled streets.
  • 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: Halkapınar
Triple: [Konak Tram, serves, Halkapınar]
Generated description
Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halkapınar
Target entity description: Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
  • A. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • B. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • C. Qara Köz
    Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
  • D. Atakule
    Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • E. Cumalıkızık
    Cumalıkızık is a well-preserved historic Ottoman village near Bursa in Turkey, renowned for its traditional timber-and-stone houses and cobbled streets.
  • 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.