Triple

T19812176
Position Surface form Disambiguated ID Type / Status
Subject Apsaras E475972 entity
Predicate hasSubclass P1244 FINISHED
Object Tilottama NE NERFINISHED

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: Tilottama | Statement: [Apsaras, hasSubclass, Tilottama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilottama
Context triple: [Apsaras, hasSubclass, Tilottama]
  • A. Tilottama chosen
    Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
  • B. Tilottama
    Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
  • C. Tilakkam
    Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
  • D. Tilligte
    Tilligte is a small village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
  • E. Tilaurakot
    Tilaurakot is an ancient archaeological site in Nepal widely regarded as the probable location of Kapilavastu, the childhood home of Siddhartha Gautama (the Buddha).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542c9c5c81908772e88caa067e63 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.