Triple
T13670102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Vaea |
E327724
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Apia urban area |
E66825
|
NE FINISHED |
How this triple was built (2 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: Apia urban area | Statement: [Mount Vaea, hasViewOf, Apia urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apia urban area Context triple: [Mount Vaea, hasViewOf, Apia urban area]
-
A.
Apia
chosen
Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
-
B.
Apia
Apia is an Australian insurance brand specializing in products and services tailored primarily for people over 50.
-
C.
Nukuʻalofa
Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
-
D.
Vaitape
Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7c8bbc81908c7aa15c6892be34 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:53 p.m.