Triple
T14572325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellona Island |
E341947
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Mungiki
Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
|
E1106447
|
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: Mungiki | Statement: [Bellona Island, hasAlternativeName, Mungiki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mungiki Context triple: [Bellona Island, hasAlternativeName, Mungiki]
-
A.
Muno
Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
-
B.
Ogakumonjo
Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
-
C.
Muchita
Muchita is a surname, notably borne by individuals such as the artist known as Havoc.
-
D.
Mungguy
Mungguy are the Aboriginal traditional owners and custodians of the land that includes Kakadu National Park in Australia’s Northern Territory.
-
E.
Pipikoro
Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
- 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: Mungiki Triple: [Bellona Island, hasAlternativeName, Mungiki]
Generated description
Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mungiki Target entity description: Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
-
A.
Muno
Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
-
B.
Ogakumonjo
Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
-
C.
Muchita
Muchita is a surname, notably borne by individuals such as the artist known as Havoc.
-
D.
Mungguy
Mungguy are the Aboriginal traditional owners and custodians of the land that includes Kakadu National Park in Australia’s Northern Territory.
-
E.
Pipikoro
Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aca591081908db149ec517a999b |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d4f2e848190a3c4c423c0ffed50 |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 10, 2026, 1:24 a.m.