Triple

T6221079
Position Surface form Disambiguated ID Type / Status
Subject Ghor Province E139113 entity
Predicate hasSettlement P1068 FINISHED
Object Shahrak
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
 E578768 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: Shahrak | Statement: [Ghor Province, hasSettlement, Shahrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shahrak
Context triple: [Ghor Province, hasSettlement, Shahrak]
  • A. Shamshabad
    Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
  • B. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • C. Gulshanabad
    Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
  • D. Maidan Shahr District
    Maidan Shahr District is an administrative district in central Afghanistan that includes the provincial capital of Maidan Shahr in Wardak Province.
  • E. Shahhat
    Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar 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: Shahrak
Triple: [Ghor Province, hasSettlement, Shahrak]
Generated description
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shahrak
Target entity description: Shahrak is a town located in Afghanistan’s central-western Ghor Province.
  • A. Shamshabad
    Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
  • B. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • C. Gulshanabad
    Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
  • D. Maidan Shahr District
    Maidan Shahr District is an administrative district in central Afghanistan that includes the provincial capital of Maidan Shahr in Wardak Province.
  • E. Shahhat
    Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bcc2348190806ed8c98bdfbf3e completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dc349b481909ce369a82fa96412 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c214980bbc8190b188b3c821ea13ea completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:22 p.m.