Triple

T22231007
Position Surface form Disambiguated ID Type / Status
Subject Kolonnawa E549464 entity
Predicate nearbyPort P5648 FINISHED
Object Port of Colombo 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: Port of Colombo | Statement: [Kolonnawa, nearbyPort, Port of Colombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Colombo
Context triple: [Kolonnawa, nearbyPort, Port of Colombo]
  • A. Colombo Harbour chosen
    Colombo Harbour is the main port of Colombo, Sri Lanka, serving as a major commercial and maritime hub in the Indian Ocean.
  • B. Port of Galle
    The Port of Galle is a historic natural harbor and regional maritime hub on Sri Lanka’s southern coast, long significant for trade and navigation in the Indian Ocean.
  • C. Bandaranaike
    Bandaranaike is a prominent Sri Lankan political family best known for producing multiple prime ministers, including the world's first female prime minister, Sirimavo Bandaranaike.
  • D. Colombo
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • E. Hambantota
    Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf2a26c81908aaf614d7c75e219 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.