Triple
T7314305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kawi |
E168170
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Blitar |
E154482
|
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: Blitar | Statement: [Mount Kawi, isNear, Blitar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blitar Context triple: [Mount Kawi, isNear, Blitar]
-
A.
Blitar
chosen
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
B.
Tuban
Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
-
C.
Banyuwangi
Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
-
D.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
E.
Sumenep
Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec03a7248190beb1dec612725e5b |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802ac12a8819098d855e250e00274 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:02 p.m.