Triple

T15135804
Position Surface form Disambiguated ID Type / Status
Subject World Peace Pagoda E361549 entity
Predicate locatedIn P40 FINISHED
Object Lumbini E73415 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 | Statement: [World Peace Pagoda, locatedIn, Lumbini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumbini
Context triple: [World Peace Pagoda, locatedIn, Lumbini]
  • A. Lumbini chosen
    Lumbini is a sacred pilgrimage site in southern Nepal revered as the birthplace of Siddhartha Gautama, the Buddha.
  • B. Lumbini Province
    Lumbini Province is a region in southern Nepal known for encompassing diverse landscapes and wildlife areas, including the renowned Chitwan National Park.
  • C. Moratuwa
    Moratuwa is a coastal suburb and industrial city in Sri Lanka, located just south of Colombo and known for its furniture industry and technical university.
  • D. Kalutara
    Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
  • E. Kelaniya
    Kelaniya is a suburban town near Colombo in Sri Lanka, known for its historic Buddhist temple and cultural significance.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e4752481908e456279a1dfbff6 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:07 a.m.