Triple

T18837006
Position Surface form Disambiguated ID Type / Status
Subject Raisen district E460689 entity
Predicate contains P35 FINISHED
Object Gairatganj
Gairatganj is a town in the Raisen district of the central Indian state of Madhya Pradesh.
E1347663 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: Gairatganj | Statement: [Raisen district, contains, Gairatganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gairatganj
Context triple: [Raisen district, contains, Gairatganj]
  • A. Maharajganj
    Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
  • B. Hingalganj
    Hingalganj is a small town in West Bengal, India, situated in the North 24 Parganas district near the Sundarbans region.
  • C. Gauriganj
    Gauriganj is a town in the Indian state of Uttar Pradesh that serves as the administrative and political center of the Amethi region.
  • D. Gadarpur
    Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
  • E. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • 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: Gairatganj
Triple: [Raisen district, contains, Gairatganj]
Generated description
Gairatganj is a town in the Raisen district of the central Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gairatganj
Target entity description: Gairatganj is a town in the Raisen district of the central Indian state of Madhya Pradesh.
  • A. Maharajganj
    Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
  • B. Hingalganj
    Hingalganj is a small town in West Bengal, India, situated in the North 24 Parganas district near the Sundarbans region.
  • C. Gauriganj
    Gauriganj is a town in the Indian state of Uttar Pradesh that serves as the administrative and political center of the Amethi region.
  • D. Gadarpur
    Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
  • E. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575ade5988190aa12b36e5ae45fc0 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a05763116908190b65f8c86655d9496 completed May 14, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_6a057a19f3b88190a6b9dc4c20b39295 completed May 14, 2026, 7:30 a.m.
Created at: April 10, 2026, 11:56 a.m.