Triple
T3060654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Surabaya metropolitan area |
E60587
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Madiun City |
E182493
|
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: Madiun City | Statement: [Greater Surabaya metropolitan area, hasComponent, Madiun City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madiun City Context triple: [Greater Surabaya metropolitan area, hasComponent, Madiun City]
-
A.
Madiun
chosen
Madiun is a city in eastern Java, Indonesia, known as a regional economic and transportation hub with a strong railway and agricultural industry presence.
-
B.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
C.
Kediri
Kediri is a historic city in Indonesia known for its role as a former Javanese kingdom center and as an important economic hub in modern East Java.
-
D.
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.
-
E.
Malang
Malang is a major city in East Java, Indonesia, known for its cool climate, colonial-era architecture, and proximity to popular mountain and volcanic tourist destinations.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb66b1248190917a7c3c146ec727 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:02 p.m.