Triple

T13095801
Position Surface form Disambiguated ID Type / Status
Subject Khost Province E310581 entity
Predicate hasDistrict P459 FINISHED
Object Tani District
Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
 E1037041 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: Tani District | Statement: [Khost Province, hasDistrict, Tani District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tani District
Context triple: [Khost Province, hasDistrict, Tani District]
  • A. Ivanava District
    Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
  • B. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • C. Hama District
    Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
  • D. Oyam District
    Oyam District is an administrative district in northern Uganda known for its predominantly rural communities and agriculture-based economy.
  • E. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • 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: Tani District
Triple: [Khost Province, hasDistrict, Tani District]
Generated description
Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tani District
Target entity description: Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
  • A. Ivanava District
    Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
  • B. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • C. Hama District
    Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
  • D. Oyam District
    Oyam District is an administrative district in northern Uganda known for its predominantly rural communities and agriculture-based economy.
  • E. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265eba0481908417d2bb905874e5 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f72a52e9dc8190a76c4c51d0e1cd07 completed May 3, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69f72ab0cb0081908090c6ebab183788 completed May 3, 2026, 11 a.m.
Created at: April 9, 2026, 9:03 p.m.