Triple
T13087947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region III |
E310385
|
entity |
| Predicate | bordersRegion |
P224
|
FINISHED |
| Object | MIMAROPA |
E101544
|
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: MIMAROPA | Statement: [Region III, bordersRegion, MIMAROPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIMAROPA Context triple: [Region III, bordersRegion, MIMAROPA]
-
A.
Mimaropa
chosen
Mimaropa is an administrative region in the Philippines composed of island provinces in the southwestern part of Luzon.
-
B.
Lagunas region
The Lagunas region is a subregion of the Mexican state of Jalisco known for its numerous lakes and lagoons, which shape its local economy and landscape.
-
C.
Soccsksargen region
Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its rich fisheries, agriculture, and diverse cultural communities.
-
D.
Luzon
Luzon is the largest and most populous island in the Philippines, home to the nation’s capital, Manila, and its main political and economic centers.
-
E.
Calabarzon region
Calabarzon region is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and major natural attractions.
- 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_69f6e27417308190b388be4a31ce4b5d |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:02 p.m.