Triple

T18400024
Position Surface form Disambiguated ID Type / Status
Subject Ajmer district E449967 entity
Predicate containsTown P847 FINISHED
Object Nasirabad
Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
 E1322412 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: Nasirabad | Statement: [Ajmer district, containsTown, Nasirabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nasirabad
Context triple: [Ajmer district, containsTown, Nasirabad]
  • A. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • B. Nasirabad
    Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
  • C. Asadabad
    Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
  • D. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • E. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • 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: Nasirabad
Triple: [Ajmer district, containsTown, Nasirabad]
Generated description
Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nasirabad
Target entity description: Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
  • A. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • B. Nasirabad
    Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
  • C. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • D. Asadabad
    Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
  • E. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • F. None of above.

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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5194f2a8c8190afcd7db23e3795fb completed April 19, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24442588190bbf9aec47467c381 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e38041e08190953c98c4d79ad1eb completed May 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a03e3f0f8b081908172ed48ab890d4f completed May 13, 2026, 2:37 a.m.
Created at: April 10, 2026, 10:46 a.m.