Triple
T4014361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuuk Lagoon |
E90719
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tonoas Island |
E618518
|
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: Tonoas Island | Statement: [Chuuk Lagoon, contains, Tonoas Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonoas Island Context triple: [Chuuk Lagoon, contains, Tonoas Island]
-
A.
Tonoas Island
chosen
Tonoas Island is one of the main islands in Chuuk Lagoon in the Federated States of Micronesia, historically significant as a former Japanese naval base during World War II.
-
B.
Muna Island
Muna Island is an island in Southeast Sulawesi, Indonesia, known for its indigenous communities and their Austronesian Muna–Buton languages.
-
C.
Omelek Island
Omelek Island is a small atoll in the Marshall Islands that served as SpaceX’s early orbital launch site for its Falcon 1 rocket.
-
D.
Thitu Island
Thitu Island is a strategically important, Philippine-occupied island in the disputed Spratly Islands of the South China Sea, featuring a small civilian community and military facilities.
-
E.
Laje Island
Laje Island is a small rocky islet and popular diving and marine conservation site located off the coast of Rio de Janeiro, Brazil.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8ad6348190b71feaf8c18c90c2 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9c89d62c08190b575d7e1058afbeb |
completed | March 30, 2026, 12:49 a.m. |
Created at: March 9, 2026, 3:35 p.m.