Triple
T37154253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Act No. 10360 |
E920449
|
entity |
| Predicate | regionNumberOfNewProvince |
P19171
|
FINISHED |
| Object | Region XI |
—
|
LITERAL 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: Region XI | Statement: [Republic Act No. 10360, regionNumberOfNewProvince, Region XI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNumberOfNewProvince Context triple: [Republic Act No. 10360, regionNumberOfNewProvince, Region XI]
-
A.
regionOfNewProvince
Indicates that a specified region is part of, or constitutes, a newly established province.
-
B.
regionNumberCreated
Indicates that a specific numbered region was created or established as a distinct area.
-
C.
numberOfNewRegions
Indicates the count of regions that have been newly created or added within a specified context or time frame.
-
D.
regionNumber
chosen
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
-
E.
numberOfProvinces
Indicates the total count of provinces associated with a given entity or within a specified region or country.
- F. None of above.
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a004fd3caf48190b2ec063a7bf0756b |
completed | May 10, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a004f7672dc8190aca91d1ed855bf9a |
completed | May 10, 2026, 9:27 a.m. |
Created at: May 3, 2026, 4:15 p.m.