Triple
T7227175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Java |
E154809
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Magelang |
E125545
|
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: Magelang | Statement: [Central Java, hasMajorCity, Magelang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magelang Context triple: [Central Java, hasMajorCity, Magelang]
-
A.
Magelang
chosen
Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
-
B.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
C.
Magelang Regency
Magelang Regency is an administrative region in Central Java, Indonesia, known for its proximity to the Borobudur Temple and its mountainous landscapes surrounding the city of Magelang.
-
D.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
E.
Magetan
Magetan is a regency and town in East Java, Indonesia, known for its cool climate, agricultural production, and proximity to the scenic Sarangan Lake and Mount Lawu.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa67ec208190b513bf7e8252cdcb |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 2:54 p.m.