Triple

T433160
Position Surface form Disambiguated ID Type / Status
Subject Rajasthan E9756 entity
Predicate hasMajorCity P316 FINISHED
Object Sikar
Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
 E57493 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: Sikar | Statement: [Rajasthan, hasMajorCity, Sikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sikar
Context triple: [Rajasthan, hasMajorCity, Sikar]
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • C. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • D. Kareli
    Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
  • E. Ghat
    Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert 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: Sikar
Triple: [Rajasthan, hasMajorCity, Sikar]
Generated description
Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sikar
Target entity description: Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • C. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • D. Kareli
    Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
  • E. Ghat
    Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef084840819080653004b674cba8 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f522acc81909d16527bd08e458d completed March 1, 2026, 2:38 p.m.
NEDg Description generation batch_69a44fd970d881909ed3ae28debf4760 completed March 1, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69a4506c3d4881908eb97e489e4b9078 completed March 1, 2026, 2:42 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.