Triple
T8183001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jember |
E191112
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Java Island |
E130552
|
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: Java Island | Statement: [Jember, partOf, Java Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Java Island Context triple: [Jember, partOf, Java Island]
-
A.
Java Sea
The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
-
B.
Javo
Javo is a character from the game Monkey Grip, likely depicted as a distinctive figure within its cast.
-
C.
Java Island (Java-eiland)
Java Island (Java-eiland) is a modern, artificially created residential peninsula in Amsterdam known for its contemporary architecture and waterfront urban design.
-
D.
Java (Indonesian island)
chosen
Java is a major Indonesian island that is the political and economic heart of the country, home to the capital Jakarta and one of the world’s largest populations.
-
E.
Java (Dzau)
Java (Dzau) is a town in South Ossetia that serves as an important regional center and transport hub in the mountainous area north of Tskhinvali.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf8e8f0c819096f449760ce0d240 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:41 p.m.