Triple

T9785532
Position Surface form Disambiguated ID Type / Status
Subject Rai E237482 entity
Predicate traditionalHomeland P2102 FINISHED
Object Udayapur District E617121 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: Udayapur District | Statement: [Rai, traditionalHomeland, Udayapur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udayapur District
Context triple: [Rai, traditionalHomeland, Udayapur District]
  • A. Udayapur District chosen
    Udayapur District is a hilly district in southeastern Nepal known for its diverse terrain, agriculture-based economy, and location along important river systems.
  • B. Bajhang District
    Bajhang District is a remote, mountainous administrative district in far-western Nepal known for its rugged terrain, rural communities, and underdeveloped infrastructure.
  • C. Panchthar District
    Panchthar District is a hilly administrative district in eastern Nepal, known for its tea cultivation and diverse ethnic communities.
  • D. Sibi District
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • E. Nawalpur District
    Nawalpur District is an administrative district in central Nepal known for its diverse landscapes, agriculture, and location within the Gandaki Province.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4bb6008190b5111d42ceef52b7 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:27 p.m.