Triple

T12000265
Position Surface form Disambiguated ID Type / Status
Subject Tsu E285638 entity
Predicate hasPort P35 FINISHED
Object Port of Tsu E727744 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: Port of Tsu | Statement: [Tsu, hasPort, Port of Tsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Tsu
Context triple: [Tsu, hasPort, Port of Tsu]
  • A. Port of Tsu chosen
    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.
  • B. Port of Kuwana
    The Port of Kuwana is a Japanese maritime hub located in Mie Prefecture, serving as a regional gateway for shipping and coastal trade along Ise Bay.
  • C. Onagawa Port
    Onagawa Port is a coastal harbor town in northeastern Japan known for its fishing industry, scenic bay, and reconstruction efforts following the 2011 Tōhoku earthquake and tsunami.
  • D. Port of Masao
    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.
  • E. Mizushima Port
    Mizushima Port is a major industrial and logistics seaport located in Kurashiki, Okayama Prefecture, Japan, serving as a key hub for petrochemical and heavy industry shipping.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.