Triple

T12993139
Position Surface form Disambiguated ID Type / Status
Subject Kohalpur E321965 entity
Predicate locatedIn P40 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: [Kohalpur, locatedIn, Lumbini Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumbini Province
Context triple: [Kohalpur, locatedIn, 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. Monze District
    Monze District is an administrative district in southern Zambia known for its agricultural activities and the town of Monze as its main urban center.
  • D. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • E. 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.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff00a2f48190b88babba80521818 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 8:44 p.m.