Triple
T13088005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bataan |
E310386
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Bagac |
E317275
|
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: Bagac | Statement: [Bataan, hasMunicipality, Bagac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagac Context triple: [Bataan, hasMunicipality, Bagac]
-
A.
Bagac
chosen
Bagac is a coastal municipality in the province of Bataan in the Philippines, known for its historical sites, beaches, and heritage attractions.
-
B.
Bagacum (Bavay)
Bagacum (Bavay) is an ancient Roman town in northern France that served as a key administrative and road junction center in the province of Gallia Belgica.
-
C.
Gurabeña
Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
-
D.
Bagabag
Bagabag is a municipality in the Philippine province of Nueva Vizcaya, known as a key agricultural area and gateway to the Ifugao highlands.
-
E.
Barugo
Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d614704481908758cf8691a941ea |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:02 p.m.