Triple

T9065258
Position Surface form Disambiguated ID Type / Status
Subject Shekhan District E217228 entity
Predicate containsVillage P4011 FINISHED
Object Khanke
Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
E776569 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: Khanke | Statement: [Shekhan District, containsVillage, Khanke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khanke
Context triple: [Shekhan District, containsVillage, Khanke]
  • A. Kesbewa
    Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
  • B. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • C. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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: Khanke
Triple: [Shekhan District, containsVillage, Khanke]
Generated description
Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khanke
Target entity description: Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • A. Kesbewa
    Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
  • B. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • C. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bc91d48190acf62afa90eec079 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdd4ad78819098f64d8440c7fa96 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:11 p.m.