Triple

T10760786
Position Surface form Disambiguated ID Type / Status
Subject Mysorean forces E253819 entity
Predicate garrison P75 FINISHED
Object Srirangapatna E64345 NE FINISHED

How this triple was built (2 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: Srirangapatna | Statement: [Mysorean forces, garrison, Srirangapatna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srirangapatna
Context triple: [Mysorean forces, garrison, Srirangapatna]
  • A. Srirangapatna chosen
    Srirangapatna is a historic island town in Karnataka, India, renowned as the former capital of Tipu Sultan and the Mysore Kingdom.
  • 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. Devanahalli
    Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
  • D. Sidlaghatta
    Sidlaghatta is a town in the Chikkaballapur district of Karnataka, India, known for its sericulture and as the birthplace of Infosys co-founder N. R. Narayana Murthy.
  • E. Shivamogga
    Shivamogga is a city in the Malnad region of Karnataka, India, known for its scenic landscapes, proximity to waterfalls like Jog Falls, and role as a regional commercial and educational hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55bb98ec8190914031643c1c7a97 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:16 p.m.