Triple

T10817711
Position Surface form Disambiguated ID Type / Status
Subject Hyder Ali E255275 entity
Predicate deathPlace P21 FINISHED
Object Nanjangud
Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
 E902647 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: Nanjangud | Statement: [Hyder Ali, deathPlace, Nanjangud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanjangud
Context triple: [Hyder Ali, deathPlace, Nanjangud]
  • A. Kollur
    Kollur is a village in Karnataka, India, best known for the Mookambika Temple, a major Hindu pilgrimage destination.
  • B. Gorikot
    Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
  • C. Kundapura
    Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
  • D. Moodabidri
    Moodabidri is a historic town in Karnataka, India, renowned as a major Jain cultural and religious center with numerous ancient temples and rich traditional architecture.
  • E. Heggadadevanakote
    Heggadadevanakote is a town in Karnataka, India, known for its proximity to the Kabini River, wildlife reserves, and rich rural landscapes.
  • 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: Nanjangud
Triple: [Hyder Ali, deathPlace, Nanjangud]
Generated description
Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanjangud
Target entity description: Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
  • A. Kollur
    Kollur is a village in Karnataka, India, best known for the Mookambika Temple, a major Hindu pilgrimage destination.
  • B. Gorikot
    Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
  • C. Kundapura
    Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
  • D. Moodabidri
    Moodabidri is a historic town in Karnataka, India, renowned as a major Jain cultural and religious center with numerous ancient temples and rich traditional architecture.
  • E. Heggadadevanakote
    Heggadadevanakote is a town in Karnataka, India, known for its proximity to the Kabini River, wildlife reserves, and rich rural landscapes.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344866f88190be4addb7c8020fce completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7d11cf081908f714686f582c081 completed April 18, 2026, 6:05 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:18 p.m.