Triple
T7227193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Java |
E154809
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Demak |
E354485
|
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: Demak | Statement: [Central Java, hasMajorCity, Demak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demak Context triple: [Central Java, hasMajorCity, Demak]
-
A.
Demak
chosen
Demak is a historic coastal town in Central Java, Indonesia, known as an early center of Islamic rule and trade in the region.
-
B.
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
C.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
D.
Pekalongan
Pekalongan is an Indonesian coastal city on the island of Java renowned as a major center of batik production and textile arts.
-
E.
Kebumen
Kebumen is a regency-level town in southern Central Java, Indonesia, known for its agricultural surroundings, coastal areas, and proximity to karst landscapes and caves.
- 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_69c8a1fd9ecc8190a6a136778422f264 |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 2:54 p.m.