Triple

T22930122
Position Surface form Disambiguated ID Type / Status
Subject Bambalapitiya E569411 entity
Predicate hasNeighbour P5707 FINISHED
Object Colombo 5 NE NERFINISHED

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: Colombo 5 | Statement: [Bambalapitiya, hasNeighbour, Colombo 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombo 5
Context triple: [Bambalapitiya, hasNeighbour, Colombo 5]
  • A. Colombo – Matara
    Colombo – Matara is a major coastal railway route in Sri Lanka connecting the capital city Colombo with the southern city of Matara.
  • B. Colombo chosen
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • C. Galle
    Galle is a historic coastal city in southern Sri Lanka renowned for its well-preserved colonial-era fort and long-standing role as a key Indian Ocean trading hub.
  • D. City of Negombo
    The City of Negombo is a major coastal urban center in western Sri Lanka, known for its fishing industry, sandy beaches, and proximity to the country’s main international airport.
  • E. Maharagama
    Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180dc33e8819099e5ad87207de57f completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:44 p.m.