Triple
T13974442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National University of Samoa |
E336147
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Apia |
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 | Statement: [National University of Samoa, locatedIn, Apia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apia Context triple: [National University of Samoa, locatedIn, Apia]
-
A.
Apia
Apia is an Australian insurance brand specializing in products and services tailored primarily for people over 50.
-
B.
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.
-
C.
Nukuʻalofa
Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
-
D.
Tulagi
Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
-
E.
Vaitape
Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6474da3081909be6b892ef8cc73e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 9, 2026, 10:18 p.m.