Triple

T4644168
Position Surface form Disambiguated ID Type / Status
Subject Gulshanabad (Medak) division E101723 entity
Predicate namedAfter P63 FINISHED
Object Gulshanabad
Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
 E459277 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: Gulshanabad | Statement: [Gulshanabad (Medak) division, namedAfter, Gulshanabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gulshanabad
Context triple: [Gulshanabad (Medak) division, namedAfter, Gulshanabad]
  • A. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • B. Shamshabad
    Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. 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.
  • E. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • 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: Gulshanabad
Triple: [Gulshanabad (Medak) division, namedAfter, Gulshanabad]
Generated description
Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gulshanabad
Target entity description: Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
  • A. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • B. Shamshabad
    Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. 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.
  • E. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6236e5488190a0ed6991c65c0a74 completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadc5dc081908d56a49895105efb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfc6751988190917ec53a8e2e27ec completed March 21, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69be009e6c488190b18e1b2b4b34ecef completed March 21, 2026, 2:21 a.m.
Created at: March 20, 2026, 1:14 p.m.