Triple

T21456192
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Jalilabad
Jalilabad is a city in southern Azerbaijan known as an administrative and agricultural center of the surrounding region.
 E1485370 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: Jalilabad | Statement: [Central Azerbaijan, hasCity, Jalilabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jalilabad
Context triple: [Central Azerbaijan, hasCity, Jalilabad]
  • A. Khalilabad
    Khalilabad is a town in the Indian state of Uttar Pradesh that serves as the administrative headquarters of Sant Kabir Nagar district.
  • B. Khanabad
    Khanabad is a village in the Lower Hunza region of northern Pakistan, situated in the mountainous Hunza Valley of Gilgit-Baltistan.
  • C. Jafrabad
    Jafrabad is a coastal town in the Indian state of Gujarat, known for its fishing industry and location along the Arabian Sea.
  • D. Shahgarh
    Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
  • E. Murtazabad
    Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
  • 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: Jalilabad
Triple: [Central Azerbaijan, hasCity, Jalilabad]
Generated description
Jalilabad is a city in southern Azerbaijan known as an administrative and agricultural center of the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jalilabad
Target entity description: Jalilabad is a city in southern Azerbaijan known as an administrative and agricultural center of the surrounding region.
  • A. Khalilabad
    Khalilabad is a town in the Indian state of Uttar Pradesh that serves as the administrative headquarters of Sant Kabir Nagar district.
  • B. Khanabad
    Khanabad is a village in the Lower Hunza region of northern Pakistan, situated in the mountainous Hunza Valley of Gilgit-Baltistan.
  • C. Jafrabad
    Jafrabad is a coastal town in the Indian state of Gujarat, known for its fishing industry and location along the Arabian Sea.
  • D. Shahgarh
    Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
  • E. Murtazabad
    Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90ebd488190ab2ee8f8af98d1ae completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9a6b84881908f9193b89ded7361 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09caa391588190808eb3dcaff07803 completed May 17, 2026, 2:03 p.m.
Created at: April 16, 2026, 6:08 p.m.