Triple
T17837541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iriga City |
E445428
|
entity |
| Predicate | hasNearbyBodyOfWater |
P8567
|
FINISHED |
| Object | Lake Buhi |
—
|
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: Lake Buhi | Statement: [Iriga City, hasNearbyBodyOfWater, Lake Buhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Buhi Context triple: [Iriga City, hasNearbyBodyOfWater, Lake Buhi]
-
A.
Lake Buhi
chosen
Lake Buhi is a freshwater lake in Camarines Sur, Philippines, known for its scenic surroundings and as the habitat of the world’s smallest commercially harvested fish, the sinarapan.
-
B.
Boolambayte Lake
Boolambayte Lake is a coastal freshwater lake located within New South Wales' Myall Lakes system in eastern Australia.
-
C.
Tatlayoko Lake
Tatlayoko Lake is a remote, scenic lake in British Columbia’s interior, known for its rugged mountain surroundings and outdoor recreation opportunities.
-
D.
Okabena Lake
Okabena Lake is a natural freshwater lake in southwestern Minnesota known for recreation and its proximity to the city of Worthington.
-
E.
Lake Kalwa
Lake Kalwa is a lake in northern Poland’s Masurian region, known for its scenic surroundings and recreational opportunities such as boating and fishing.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d28c14881909033abd09bbdb135 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.