Triple

T19548324
Position Surface form Disambiguated ID Type / Status
Subject Firozabad E489132 entity
Predicate nickname P55 FINISHED
Object Suhag Nagari
Suhag Nagari is a popular name for Firozabad, a North Indian city renowned for its glass and bangle industry.
E1387345 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: Suhag Nagari | Statement: [Firozabad, nickname, Suhag Nagari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suhag Nagari
Context triple: [Firozabad, nickname, Suhag Nagari]
  • A. Sant Nagar
    Sant Nagar is a residential neighborhood located within the North Delhi district of India’s National Capital Territory.
  • B. Raisinghnagar
    Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
  • C. Santalpur
    Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
  • D. Rajnagar
    Rajnagar is a town and administrative block in the Kendrapara district of the eastern Indian state of Odisha.
  • E. Vikasnagar
    Vikasnagar is a town in the Indian state of Uttarakhand known as a commercial and agricultural hub near the foothills of the Himalayas.
  • 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: Suhag Nagari
Triple: [Firozabad, nickname, Suhag Nagari]
Generated description
Suhag Nagari is a popular name for Firozabad, a North Indian city renowned for its glass and bangle industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suhag Nagari
Target entity description: Suhag Nagari is a popular name for Firozabad, a North Indian city renowned for its glass and bangle industry.
  • A. Sant Nagar
    Sant Nagar is a residential neighborhood located within the North Delhi district of India’s National Capital Territory.
  • B. Raisinghnagar
    Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
  • C. Santalpur
    Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
  • D. Rajnagar
    Rajnagar is a town and administrative block in the Kendrapara district of the eastern Indian state of Odisha.
  • E. Vikasnagar
    Vikasnagar is a town in the Indian state of Uttarakhand known as a commercial and agricultural hub near the foothills of the Himalayas.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2e5e588190ac3a6f612d4fb54b completed April 20, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771a3a8a481909bb246db0c1fb823 completed May 15, 2026, 7:18 p.m.
NEDg Description generation batch_6a07789e58088190af2ac8d8026199a1 completed May 15, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0779531e248190ba43935e1f70fc5c completed May 15, 2026, 7:51 p.m.
Created at: April 10, 2026, 1:41 p.m.