Triple

T6564300
Position Surface form Disambiguated ID Type / Status
Subject Sudurpashchim Province E153862 entity
Predicate bordersProvince P224 FINISHED
Object Lumbini Province E365001 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: Lumbini Province | Statement: [Sudurpashchim Province, bordersProvince, Lumbini Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumbini Province
Context triple: [Sudurpashchim Province, bordersProvince, Lumbini Province]
  • A. Lumbini Province chosen
    Lumbini Province is a region in southern Nepal known for encompassing diverse landscapes and wildlife areas, including the renowned Chitwan National Park.
  • B. Lumbini
    Lumbini is a sacred pilgrimage site in southern Nepal revered as the birthplace of Siddhartha Gautama, the Buddha.
  • C. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • D. Logar Province
    Logar Province is an administrative region in eastern Afghanistan known for its strategic location near Kabul and its largely rural, agriculture-based communities.
  • E. Ampara District
    Ampara District is an administrative district in southeastern Sri Lanka known for its agriculture, coastal areas, and ethnically diverse population.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.