Triple
T1360605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga |
E29089
|
entity |
| Predicate | hasArchipelago |
P970
|
FINISHED |
| Object |
Vavaʻu
Vavaʻu is a scenic island group in northern Tonga known for its sheltered harbors, sailing, and whale-watching opportunities.
|
E178991
|
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: Vavaʻu | Statement: [Tonga, hasArchipelago, Vavaʻu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vavaʻu Context triple: [Tonga, hasArchipelago, Vavaʻu]
-
A.
Taveuni
Taveuni is Fiji’s third-largest island, famed for its lush rainforests, rich biodiversity, and world-class diving sites along the Somosomo Strait.
-
B.
Faleasao
Faleasao is a small coastal village and harbor community located on the island of Taʻū in American Samoa.
-
C.
Savaiʻi
Savaiʻi is the largest and one of the main islands of Samoa, known for its volcanic landscapes, traditional villages, and relatively undeveloped, rural character.
-
D.
Tongatapu
Tongatapu is the main island and political center of the Kingdom of Tonga, housing its capital Nukuʻalofa and the majority of the country's population.
-
E.
Hiri Motu
Hiri Motu is an Austronesian lingua franca and one of the official languages of Papua New Guinea, historically used for trade and communication among diverse ethnic groups.
- 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: Vavaʻu Triple: [Tonga, hasArchipelago, Vavaʻu]
Generated description
Vavaʻu is a scenic island group in northern Tonga known for its sheltered harbors, sailing, and whale-watching opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vavaʻu Target entity description: Vavaʻu is a scenic island group in northern Tonga known for its sheltered harbors, sailing, and whale-watching opportunities.
-
A.
Taveuni
Taveuni is Fiji’s third-largest island, famed for its lush rainforests, rich biodiversity, and world-class diving sites along the Somosomo Strait.
-
B.
Faleasao
Faleasao is a small coastal village and harbor community located on the island of Taʻū in American Samoa.
-
C.
Savaiʻi
Savaiʻi is the largest and one of the main islands of Samoa, known for its volcanic landscapes, traditional villages, and relatively undeveloped, rural character.
-
D.
Tongatapu
Tongatapu is the main island and political center of the Kingdom of Tonga, housing its capital Nukuʻalofa and the majority of the country's population.
-
E.
Hiri Motu
Hiri Motu is an Austronesian lingua franca and one of the official languages of Papua New Guinea, historically used for trade and communication among diverse ethnic groups.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad400e0a8c8190956ec444b86aa28c |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad4124554c819080978ca73a2c1404 |
completed | March 8, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41968e4c8190b843b97e18ac9968 |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 1, 2026, 7:56 p.m.