Triple
T20753453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tailevu Province |
E510789
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object |
Wainibokasi
Wainibokasi is a locality in Fiji’s Tailevu Province, known primarily for its hospital and its position along the Rewa River.
|
E1449609
|
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: Wainibokasi | Statement: [Tailevu Province, containsDistrict, Wainibokasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wainibokasi Context triple: [Tailevu Province, containsDistrict, Wainibokasi]
-
A.
Wainibuka
Wainibuka is a rural district in Fiji’s Tailevu Province, known for its agricultural communities and inland landscapes.
-
B.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
C.
Nabitasan
Nabitasan is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
- 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: Wainibokasi Triple: [Tailevu Province, containsDistrict, Wainibokasi]
Generated description
Wainibokasi is a locality in Fiji’s Tailevu Province, known primarily for its hospital and its position along the Rewa River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wainibokasi Target entity description: Wainibokasi is a locality in Fiji’s Tailevu Province, known primarily for its hospital and its position along the Rewa River.
-
A.
Wainibuka
Wainibuka is a rural district in Fiji’s Tailevu Province, known for its agricultural communities and inland landscapes.
-
B.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
C.
Nabitasan
Nabitasan is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22d0ebc8190b17077326f540f98 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef82cb788190b8b4a7cf71265ba3 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f1c8a1b08190b8d0f3e84a195ef5 |
completed | May 16, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f22a69348190869d69ec6144f85e |
completed | May 16, 2026, 10:39 p.m. |
Created at: April 16, 2026, 12:34 p.m.