Triple
T294092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Asia |
E6055
|
entity |
| Predicate | hasCountry |
P846
|
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: [South Asia, hasCountry, Maldives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maldives Context triple: [South Asia, hasCountry, 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.
Seychelles
Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
-
C.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
D.
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.
-
E.
Kiribati
Kiribati is a remote Pacific island nation made up of low-lying atolls and islands spread across a vast area of ocean, known for its vulnerability to climate change and sea-level rise.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e978420881908488df342a7d5e90 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4253cbdb88190a4db08c9a91bc15a |
completed | March 1, 2026, 11:38 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.