Triple

T15144752
Position Surface form Disambiguated ID Type / Status
Subject Seringapatam E361777 entity
Predicate hasAlternativeName P39 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: [Seringapatam, hasAlternativeName, Srirangapatna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srirangapatna
Context triple: [Seringapatam, hasAlternativeName, 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. Nayandahalli
    Nayandahalli is a locality in southwestern Bangalore known as a key junction and residential area along major transport routes.
  • C. Chamarajpet
    Chamarajpet is one of the oldest residential and commercial localities in Bengaluru, known for its traditional markets, historic temples, and dense urban character.
  • D. Gorikot
    Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
  • E. Gudalur
    Gudalur is a town in the Nilgiris region of Tamil Nadu, India, known for its tea plantations, forested hills, and proximity to wildlife sanctuaries.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.