Triple

T7363765
Position Surface form Disambiguated ID Type / Status
Subject Kota Tua Jakarta E169814 entity
Predicate near P350 FINISHED
Object Sunda Kelapa Harbor 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: Sunda Kelapa Harbor | Statement: [Kota Tua Jakarta, near, Sunda Kelapa Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunda Kelapa Harbor
Context triple: [Kota Tua Jakarta, near, Sunda Kelapa Harbor]
  • A. 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.
  • B. 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.
  • C. Tanjung Priok
    Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
  • D. 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.
  • E. Port of Tanjung Emas
    The Port of Tanjung Emas is the main seaport serving Semarang and Central Java, Indonesia, handling regional cargo and passenger traffic along the northern coast of Java.
  • 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_69c810d4b8e88190997b2a09ca5df838 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:06 p.m.