Triple
T4018412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandar Lampung |
E91220
|
entity |
| Predicate | locatedNear |
P294
|
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: [Bandar Lampung, locatedNear, Java Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Java Island Context triple: [Bandar Lampung, locatedNear, 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.
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.
-
C.
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.
-
D.
Javakade
Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
-
E.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c792d948190aed89f2a52d65688 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.