Triple
T21044634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magelang Regency |
E518416
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Magelang City |
—
|
NE NERFINISHED |
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 City | Statement: [Magelang Regency, locatedNear, Magelang City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magelang City Context triple: [Magelang Regency, locatedNear, Magelang City]
-
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.
Tegal
Tegal is a coastal city in Central Java, Indonesia, known as a regional transport hub and trading center on the north coast railway line.
-
D.
Muntilan
Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
-
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 (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:24 p.m.