Triple
T15549087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madiun Regency |
E370692
|
entity |
| Predicate | borders |
P224
|
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: [Madiun Regency, borders, Madiun City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madiun City Context triple: [Madiun Regency, borders, 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.
Madiun Regency
Madiun Regency is an administrative region in East Java, Indonesia, known for its agricultural economy, historical significance, and role as a regional hub in the western part of the province.
-
C.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
D.
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.
-
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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67830b4c8190a8c3f2168d8c2ec7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:08 a.m.