Triple
T7363434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunda Kelapa |
E169807
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jayakarta |
E29483
|
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: Jayakarta | Statement: [Sunda Kelapa, associatedWith, Jayakarta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayakarta Context triple: [Sunda Kelapa, associatedWith, Jayakarta]
-
A.
Batavia
Batavia was the principal colonial capital of the Dutch East Indies, located on the site of present-day Jakarta in Indonesia.
-
B.
Batavia
Batavia is a small city in western New York State, historically industrial and situated between Buffalo and Rochester along the I-90 corridor.
-
C.
Jakarta
chosen
Jakarta is the bustling capital and largest city of Indonesia, serving as the country’s political, economic, and cultural center on the island of Java.
-
D.
Paris van Java
Paris van Java is a popular nickname for the Indonesian city of Bandung, highlighting its reputation as a fashionable, European-influenced center of shopping, culture, and cool climate tourism.
-
E.
Sunda Kelapa
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_69c810d4b8e88190997b2a09ca5df838 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.