Triple

T10742801
Position Surface form Disambiguated ID Type / Status
Subject Shravanabelagola E253369 entity
Predicate nearestMajorCity P1982 FINISHED
Object Hassan
Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
E883873 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: Hassan | Statement: [Shravanabelagola, nearestMajorCity, Hassan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan
Context triple: [Shravanabelagola, nearestMajorCity, Hassan]
  • A. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • B. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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: Hassan
Triple: [Shravanabelagola, nearestMajorCity, Hassan]
Generated description
Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hassan
Target entity description: Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • A. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b5dd8c81908f1d9b126e4c3ae7 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.