Triple

T7141739
Position Surface form Disambiguated ID Type / Status
Subject Tekirdağ Province E166458 entity
Predicate hasCity P316 FINISHED
Object Hayrabolu
Hayrabolu is a town and district in northwestern Turkey known for its agricultural economy and traditional Turkish desserts, particularly the syrup-soaked Hayrabolu tatlısı.
 E644678 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: Hayrabolu | Statement: [Tekirdağ Province, hasCity, Hayrabolu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hayrabolu
Context triple: [Tekirdağ Province, hasCity, Hayrabolu]
  • A. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • B. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • C. Çumra
    Çumra is a town and agricultural district in central Turkey known for its fertile plains and proximity to the ancient archaeological site of Çatalhöyük.
  • D. Didgori
    Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
  • E. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • 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: Hayrabolu
Triple: [Tekirdağ Province, hasCity, Hayrabolu]
Generated description
Hayrabolu is a town and district in northwestern Turkey known for its agricultural economy and traditional Turkish desserts, particularly the syrup-soaked Hayrabolu tatlısı.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hayrabolu
Target entity description: Hayrabolu is a town and district in northwestern Turkey known for its agricultural economy and traditional Turkish desserts, particularly the syrup-soaked Hayrabolu tatlısı.
  • A. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • B. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • C. Çumra
    Çumra is a town and agricultural district in central Turkey known for its fertile plains and proximity to the ancient archaeological site of Çatalhöyük.
  • D. Didgori
    Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
  • E. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e778875c8190a5202d3efe5a842d completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3502ed88190ac378a93891c8d9e completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45e81bc8190bf4c47e3bb5fe077 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4f074708190a5ce0a863ffd4f25 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:45 p.m.