Triple
T10667487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula Islands |
E251393
|
entity |
| Predicate | hasLargestIsland |
P756
|
FINISHED |
| Object | Taliabu |
E878331
|
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: Taliabu | Statement: [Sula Islands, hasLargestIsland, Taliabu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taliabu Context triple: [Sula Islands, hasLargestIsland, Taliabu]
-
A.
Taliabu
chosen
Taliabu is the largest and most prominent island of the Sula Islands group in eastern Indonesia, known for its rugged terrain and tropical forests.
-
B.
Dhiffushi
Dhiffushi is a small inhabited island in the Maldives known for its guesthouses, local village life, and easy access from Malé within North Malé Atoll.
-
C.
Tasiilaq
Tasiilaq is a remote town on the southeastern coast of Greenland, known for its dramatic fjord landscape, Inuit culture, and role as a regional hub for outdoor and Arctic expeditions.
-
D.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
E.
Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f3204bac8190b9bd8bfcc705b06b |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998b77db08190bce5a7ce24dbc085 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:08 p.m.