Triple
T3730422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Sulawesi |
E79046
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Donggala
Donggala is a coastal town and regency in Indonesia known historically as a key port and administrative center in Central Sulawesi.
|
E390762
|
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: Donggala | Statement: [Central Sulawesi, hasCity, Donggala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donggala Context triple: [Central Sulawesi, hasCity, Donggala]
-
A.
Tidore
Tidore is an island and historic sultanate in eastern Indonesia that was once a major center of the regional spice trade.
-
B.
Ternate
Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
-
C.
Ternate
Ternate is a small volcanic island and city in eastern Indonesia that was historically a major center of the global spice trade, especially for cloves.
-
D.
Kendari Bay
Kendari Bay is a coastal inlet in Southeast Sulawesi, Indonesia, known for bordering the city of Kendari and serving as an important local hub for fishing, transport, and maritime activities.
-
E.
Bawean
Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
- 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: Donggala Triple: [Central Sulawesi, hasCity, Donggala]
Generated description
Donggala is a coastal town and regency in Indonesia known historically as a key port and administrative center in Central Sulawesi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donggala Target entity description: Donggala is a coastal town and regency in Indonesia known historically as a key port and administrative center in Central Sulawesi.
-
A.
Tidore
Tidore is an island and historic sultanate in eastern Indonesia that was once a major center of the regional spice trade.
-
B.
Ternate
Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
-
C.
Ternate
Ternate is a small volcanic island and city in eastern Indonesia that was historically a major center of the global spice trade, especially for cloves.
-
D.
Kendari Bay
Kendari Bay is a coastal inlet in Southeast Sulawesi, Indonesia, known for bordering the city of Kendari and serving as an important local hub for fishing, transport, and maritime activities.
-
E.
Bawean
Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb1bb5408190990ea4dfbdab5c68 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb074a9881909afec640a5a208c6 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc9107fc81908805740b98c7ae3e |
completed | March 14, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fced2620819083ab1e75393ba2ba |
completed | March 14, 2026, 6:15 a.m. |
Created at: March 8, 2026, 3:34 p.m.