Triple

T19783113
Position Surface form Disambiguated ID Type / Status
Subject Butuan City E475186 entity
Predicate hasPort P35 FINISHED
Object Port of Masao 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 Masao | Statement: [Butuan City, hasPort, Port of Masao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Masao
Context triple: [Butuan City, hasPort, Port of Masao]
  • A. Port of Masao chosen
    The Port of Masao is a key seaport serving the city of Butuan in the southern Philippines, facilitating regional trade and passenger transport in the Caraga region of Mindanao.
  • B. Port of Tsu
    The Port of Tsu is a regional seaport in Tsu, Mie Prefecture, Japan, serving as a maritime hub for cargo and passenger traffic in the Ise Bay area.
  • C. Hitakatsu Port
    Hitakatsu Port is a ferry and maritime transport hub located in Hitakatsu on Tsushima Island, Japan, providing passenger and cargo connections to nearby domestic and international destinations.
  • D. Tokoname Port
    Tokoname Port is a coastal harbor facility in Tokoname, Aichi Prefecture, Japan, serving regional maritime transport and local industry.
  • E. Futami Port
    Futami Port is the main harbor and gateway for transportation and supplies to Chichijima in the Ogasawara (Bonin) Islands of Japan.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653852e848190b8971981a164e8f9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.