Triple
T22657405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bintan |
E559263
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lagoi |
—
|
NE NERFINISHED |
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: Lagoi | Statement: [Bintan, hasSettlement, Lagoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagoi Context triple: [Bintan, hasSettlement, Lagoi]
-
A.
Lagoi
chosen
Lagoi is a popular resort destination on Bintan Island in Indonesia, known for its beaches, upscale hotels, and leisure facilities.
-
B.
Calibato Lake
Calibato Lake is one of the seven crater lakes of San Pablo City in Laguna, Philippines, known for its scenic volcanic setting and freshwater ecosystem.
-
C.
Lemolo Lake
Lemolo Lake is a scenic reservoir in Oregon’s Cascade Range, popular for fishing, boating, and camping within the Umpqua National Forest.
-
D.
Lago Bertrand
Lago Bertrand is a glacial lake in Chilean Patagonia known for its striking turquoise waters and role in feeding the Baker River, one of Chile’s largest and most powerful rivers.
-
E.
Idroscalo Lake
Idroscalo Lake is an artificial basin and popular recreational area near Milan, Italy, known for water sports, rowing events, and lakeside leisure activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.