Triple
T8798137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Sunda |
E209338
|
entity |
| Predicate | portCity |
P3206
|
FINISHED |
| Object | Sunda Kelapa |
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 | Statement: [Kingdom of Sunda, portCity, Sunda Kelapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunda Kelapa Context triple: [Kingdom of Sunda, portCity, Sunda Kelapa]
-
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.
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 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.
-
D.
Port of Banten
The Port of Banten was a major Southeast Asian trading harbor that served as a key commercial hub for the Sultanate of Banten, connecting regional and international maritime trade routes.
-
E.
Port of Gresik
The Port of Gresik is a commercial seaport in Gresik, East Java, Indonesia, serving regional maritime trade and industrial shipping activities.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa50dd081908fa5e4ffa70342e2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf891583d48190ba276b5a1f7d6f7a |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:44 p.m.