Triple

T13157578
Position Surface form Disambiguated ID Type / Status
Subject Ghaziabad Lok Sabha constituency E312629 entity
Predicate assemblySegment P63908 FINISHED
Object Muradnagar
Muradnagar is a town and municipal area in Uttar Pradesh, India, known for its proximity to Ghaziabad and its role as a local commercial and residential hub.
E1040891 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: Muradnagar | Statement: [Ghaziabad Lok Sabha constituency, assemblySegment, Muradnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muradnagar
Context triple: [Ghaziabad Lok Sabha constituency, assemblySegment, Muradnagar]
  • A. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • B. Mauzamabad
    Mauzamabad is a village-level settlement located within the Jaipur district of the Indian state of Rajasthan.
  • C. Shikohabad
    Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
  • D. Jahangir Nagar
    Jahangir Nagar is the former Mughal-era name of present-day Dhaka, given in honor of the emperor Jahangir.
  • E. Islam Nagar
    Islam Nagar is a residential neighborhood located within the town of SITE.
  • 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: Muradnagar
Triple: [Ghaziabad Lok Sabha constituency, assemblySegment, Muradnagar]
Generated description
Muradnagar is a town and municipal area in Uttar Pradesh, India, known for its proximity to Ghaziabad and its role as a local commercial and residential hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Muradnagar
Target entity description: Muradnagar is a town and municipal area in Uttar Pradesh, India, known for its proximity to Ghaziabad and its role as a local commercial and residential hub.
  • A. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • B. Mauzamabad
    Mauzamabad is a village-level settlement located within the Jaipur district of the Indian state of Rajasthan.
  • C. Shikohabad
    Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
  • D. Jahangir Nagar
    Jahangir Nagar is the former Mughal-era name of present-day Dhaka, given in honor of the emperor Jahangir.
  • E. Islam Nagar
    Islam Nagar is a residential neighborhood located within the town of SITE.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c084028819093bc4e94d53b4f17 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73970791c8190af0facf83b0a2107 completed May 3, 2026, 12:02 p.m.
NEDg Description generation batch_69f73de6dce8819091ac5b5a5891c38c completed May 3, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69f73e30d23c8190ad1d1251b433c74e completed May 3, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:12 p.m.