Triple
T19898779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Buguey |
—
|
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: Buguey | Statement: [Cagayan Province, hasMunicipality, Buguey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buguey Context triple: [Cagayan Province, hasMunicipality, Buguey]
-
A.
Buguey
chosen
Buguey is a coastal municipality in the province of Cagayan in the Philippines, known for its fishing industry and rich marine resources.
-
B.
Buggingen
Buggingen is a municipality in southwestern Germany’s Baden-Württemberg region, known for its location in the wine-growing area of the Markgräflerland.
-
C.
Bossiney
Bossiney was a former parliamentary borough in Cornwall, England, historically represented in the UK Parliament before its disenfranchisement in the 19th century.
-
D.
Bugeat
Bugeat is a small rural commune in central France’s Corrèze department, known for its natural surroundings on the Millevaches plateau and outdoor recreational activities.
-
E.
Bugarra
Bugarra is a small municipality in the province of Valencia, Spain, known for its rural landscape and riverside setting along the Turia.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.