Triple
T5059063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumbawa |
E113977
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Bima City
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
|
E491218
|
NE FINISHED |
How this triple was built (4 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 City | Statement: [Sumbawa, hasAdministrativeDivision, Bima City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bima City Context triple: [Sumbawa, hasAdministrativeDivision, Bima City]
-
A.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
-
B.
Mataram
Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
-
C.
Jember
Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
-
D.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bima City Triple: [Sumbawa, hasAdministrativeDivision, Bima City]
Generated description
Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bima City Target entity description: Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
-
A.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
-
B.
Mataram
Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
-
C.
Jember
Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
-
D.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49283f48190b5db5ad78f332f95 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea67c2c3c8190af0caba391bfe69c |
completed | March 21, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beaa2c9bf88190b9f96474a1b4f13d |
completed | March 21, 2026, 2:24 p.m. |
Created at: March 20, 2026, 1:38 p.m.