Triple

T433110
Position Surface form Disambiguated ID Type / Status
Subject Narmada E9755 entity
Predicate passesNear P416 FINISHED
Object Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
 E58817 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: Hoshangabad | Statement: [Narmada, passesNear, Hoshangabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hoshangabad
Context triple: [Narmada, passesNear, Hoshangabad]
  • A. Jamnagar
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • B. Raichur
    Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
  • C. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • D. Mansehra
    Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
  • E. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • 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: Hoshangabad
Triple: [Narmada, passesNear, Hoshangabad]
Generated description
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hoshangabad
Target entity description: Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • A. Jamnagar
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • B. Raichur
    Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
  • C. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • D. Mansehra
    Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
  • E. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • 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_69a457fba1d08190a8eb41271b59a693 completed March 1, 2026, 3:15 p.m.
NEDg Description generation batch_69a45d7d7bc881908b0862cfe82b73c1 completed March 1, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69a45dd685cc819095bc100ce6c23a78 completed March 1, 2026, 3:40 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.