Triple

T4255785
Position Surface form Disambiguated ID Type / Status
Subject Bandaranaike International Airport E95970 entity
Predicate servesCity P82 FINISHED
Object Colombo E11029 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: Colombo | Statement: [Bandaranaike International Airport, servesCity, Colombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombo
Context triple: [Bandaranaike International Airport, servesCity, Colombo]
  • A. Colombo chosen
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • B. Sri Jayawardenepura Kotte
    Sri Jayawardenepura Kotte is the administrative capital of Sri Lanka, located near Colombo and serving as the seat of the national legislature.
  • 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. 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.
  • E. Kandy
    Kandy is a historic city in central Sri Lanka renowned for its cultural heritage, including the Temple of the Tooth and its role as a former royal stronghold.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5b3f5b88190bda71f9f053e67d7 completed March 14, 2026, 11:56 p.m.
Created at: March 12, 2026, 11:06 p.m.