Triple

T14127859
Position Surface form Disambiguated ID Type / Status
Subject Kırıkkale Province E340080 entity
Predicate hasDistrict P459 FINISHED
Object Yahşihan
Yahşihan is a district and town in central Turkey, located within Kırıkkale Province.
E1081400 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: Yahşihan | Statement: [Kırıkkale Province, hasDistrict, Yahşihan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahşihan
Context triple: [Kırıkkale Province, hasDistrict, Yahşihan]
  • A. Yahyalı
    Yahyalı is a district and town in central Turkey known for its natural beauty, including waterfalls and proximity to the Aladağlar National Park, as well as its traditional handwoven carpets.
  • B. Yakakent
    Yakakent is a coastal district and town on the Black Sea in northern Turkey’s Samsun Province, known for its fishing and seaside tourism.
  • C. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • D. Bahjí
    Bahjí is a historic estate near Acre in present-day Israel that serves as the most sacred site in the Baháʼí Faith, housing the Shrine of Baháʼu'lláh.
  • E. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • 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: Yahşihan
Triple: [Kırıkkale Province, hasDistrict, Yahşihan]
Generated description
Yahşihan is a district and town in central Turkey, located within Kırıkkale Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yahşihan
Target entity description: Yahşihan is a district and town in central Turkey, located within Kırıkkale Province.
  • A. Yahyalı
    Yahyalı is a district and town in central Turkey known for its natural beauty, including waterfalls and proximity to the Aladağlar National Park, as well as its traditional handwoven carpets.
  • B. Yakakent
    Yakakent is a coastal district and town on the Black Sea in northern Turkey’s Samsun Province, known for its fishing and seaside tourism.
  • C. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • D. Bahjí
    Bahjí is a historic estate near Acre in present-day Israel that serves as the most sacred site in the Baháʼí Faith, housing the Shrine of Baháʼu'lláh.
  • E. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce094bf3081909f7c0097dcb63398 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce14ff8e48190b3b663d130d18418 completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:22 p.m.