Triple

T10222904
Position Surface form Disambiguated ID Type / Status
Subject Jainagar E242627 entity
Predicate connectsTo P845 FINISHED
Object Janakpur E254454 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: Janakpur | Statement: [Jainagar, connectsTo, Janakpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janakpur
Context triple: [Jainagar, connectsTo, Janakpur]
  • A. Janakpur chosen
    Janakpur is a historic cultural and religious center in the Mithila region, renowned as a major pilgrimage site associated with the Hindu epic Ramayana.
  • B. Nepalgunj
    Nepalgunj is a major city in southwestern Nepal known as a commercial and transportation hub near the Indian border.
  • C. Patan
    Patan is an ancient city in the Kathmandu Valley of Nepal, renowned for its rich Newar culture, traditional arts, and historic Durbar Square filled with temples and palaces.
  • D. Tikapur
    Tikapur is a town in far‑western Nepal known for its planned urban layout and the large riverside Tikapur Park along the Karnali River.
  • E. Pokhara
    Pokhara is a major lakeside city in central Nepal, known as a gateway to the Annapurna mountain range and a hub for trekking and adventure tourism.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa8305e481908ee1fc1d9eda6fa0 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a838a0148190bc7f2aa33bb7230b completed April 8, 2026, 7:10 p.m.
Created at: April 6, 2026, 11:10 a.m.