Triple

T7363430
Position Surface form Disambiguated ID Type / Status
Subject Sunda Kelapa E169807 entity
Predicate formerNameOf P65 FINISHED
Object Port of Jakarta E169807 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 Jakarta | Statement: [Sunda Kelapa, formerNameOf, Port of Jakarta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Jakarta
Context triple: [Sunda Kelapa, formerNameOf, Port of Jakarta]
  • A. Port of Surabaya
    The Port of Surabaya is a major Indonesian seaport on the northern coast of Java that serves as a key commercial and shipping hub in the Asia-Pacific region.
  • B. Tanjung Priok
    Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
  • C. Port of Cirebon
    The Port of Cirebon is a commercial seaport on the north coast of West Java, Indonesia, serving regional trade and transportation for the city of Cirebon and its surrounding areas.
  • D. Port of Trisakti
    The Port of Trisakti is a major seaport and key commercial gateway serving the city of Banjarmasin and the surrounding region in South Kalimantan, Indonesia.
  • E. Sunda Kelapa chosen
    Sunda Kelapa is the historic old port area of Jakarta, Indonesia, known as a key trading hub in the region since precolonial times.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1603e1481909fb1dce2c9a7c577 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b90cc081908b15e61921d15b92 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:06 p.m.