Triple
T7573911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAU |
E179313
|
entity |
| Predicate | servesStudentsFrom |
P9355
|
FINISHED |
| Object | Maldives |
E29958
|
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: Maldives | Statement: [SAU, servesStudentsFrom, Maldives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maldives Context triple: [SAU, servesStudentsFrom, Maldives]
-
A.
Maldives
chosen
The Maldives is a tropical island nation in the Indian Ocean renowned for its white-sand beaches, coral reefs, and luxury overwater resorts.
-
B.
Dhivehi
Dhivehi is an Indo-Aryan language spoken primarily in the Maldives, where it serves as the national language of the Maldivian people.
-
C.
Seychelles
Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
-
D.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
E.
Cocos (Keeling) Islands
Cocos (Keeling) Islands is a remote Australian external territory in the Indian Ocean, known for its small population, coral atolls, and strategic location between Australia and Sri Lanka.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856ea9a2c8190a81762ac509c4c97 |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.