Triple
T16106960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggala |
E390762
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Banawa
Banawa is an administrative district in Central Sulawesi, Indonesia, known for serving as the governmental center of Donggala Regency.
|
E1194342
|
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: Banawa | Statement: [Donggala, hasCapital, Banawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banawa Context triple: [Donggala, hasCapital, Banawa]
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Camalaniugan
Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
-
C.
Saguling
Saguling is a locality in West Java, Indonesia, best known for the Saguling Dam and its surrounding reservoir on the Citarum River.
-
D.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
E.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
- 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: Banawa Triple: [Donggala, hasCapital, Banawa]
Generated description
Banawa is an administrative district in Central Sulawesi, Indonesia, known for serving as the governmental center of Donggala Regency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banawa Target entity description: Banawa is an administrative district in Central Sulawesi, Indonesia, known for serving as the governmental center of Donggala Regency.
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Camalaniugan
Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
-
C.
Saguling
Saguling is a locality in West Java, Indonesia, best known for the Saguling Dam and its surrounding reservoir on the Citarum River.
-
D.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
E.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba4479c81909f7d43e33f228f7e |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffecb8c71481908b4913bb078b6415 |
completed | May 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.