Triple

T19150360
Position Surface form Disambiguated ID Type / Status
Subject Southern Province E468787 entity
Predicate hasPort P35 FINISHED
Object Hambantota Port 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: Hambantota Port | Statement: [Southern Province, hasPort, Hambantota Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hambantota Port
Context triple: [Southern Province, hasPort, Hambantota Port]
  • A. Hambantota chosen
    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.
  • 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. Trincomalee
    Trincomalee is a strategically important natural deep-water harbor and coastal city on the northeastern coast of Sri Lanka.
  • D. Colombo Harbour
    Colombo Harbour is the main port of Colombo, Sri Lanka, serving as a major commercial and maritime hub in the Indian Ocean.
  • E. 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.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97cfaa08190b7085d28fe970108 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.