Triple

T20104896
Position Surface form Disambiguated ID Type / Status
Subject Mughal Subah of Orissa E490141 entity
Predicate hadPort P2745 FINISHED
Object Harishpur
Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
E1420178 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: Harishpur | Statement: [Mughal Subah of Orissa, hadPort, Harishpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harishpur
Context triple: [Mughal Subah of Orissa, hadPort, Harishpur]
  • A. Sahaspur
    Sahaspur is a legislative assembly constituency located in the Dehradun district of the Indian state of Uttarakhand.
  • B. Mahilpur
    Mahilpur is a town in the Hoshiarpur district of Punjab, India, known for its educational institutions and local commerce.
  • C. Kashipur
    Kashipur is a town in the Udham Singh Nagar district of Uttarakhand, India, known as an important industrial and commercial center in the region.
  • D. Balrampur
    Balrampur is a parliamentary constituency in Uttar Pradesh, India, historically notable as one of the seats represented by former Prime Minister Atal Bihari Vajpayee.
  • E. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • 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: Harishpur
Triple: [Mughal Subah of Orissa, hadPort, Harishpur]
Generated description
Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harishpur
Target entity description: Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
  • A. Sahaspur
    Sahaspur is a legislative assembly constituency located in the Dehradun district of the Indian state of Uttarakhand.
  • B. Mahilpur
    Mahilpur is a town in the Hoshiarpur district of Punjab, India, known for its educational institutions and local commerce.
  • C. Kashipur
    Kashipur is a town in the Udham Singh Nagar district of Uttarakhand, India, known as an important industrial and commercial center in the region.
  • D. Balrampur
    Balrampur is a parliamentary constituency in Uttar Pradesh, India, historically notable as one of the seats represented by former Prime Minister Atal Bihari Vajpayee.
  • E. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666daf73c819089f02ca6faa2c283 completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08551441a88190b895affc2d66189e completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855fad28c81908c1516b64b8b1dc8 completed May 16, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a08569e603881908e28fec3e8f5f5aa completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:28 p.m.