Triple
T7973552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bima people |
E185385
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Bima |
E489716
|
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: Bima | Statement: [Bima people, ethnonym, Bima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bima Context triple: [Bima people, ethnonym, Bima]
-
A.
Bima
chosen
Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
-
B.
Dipatiukur
Dipatiukur is a central urban area in Bandung, Indonesia, known for hosting one of Universitas Padjadjaran’s main campuses and its surrounding student-oriented neighborhood.
-
C.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
D.
Sukaraja
Sukaraja is a district in Bogor Regency, West Java, Indonesia, known as a suburban area supporting the greater Bogor and Jakarta regions.
-
E.
Sukawati
Sukawati is a district in Bali, Indonesia, known for its traditional art market, handicrafts, and cultural attractions within Gianyar Regency.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56710dd0819084da3898cb0933b0 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.