Triple
T2054316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binisaya |
E45639
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Caraga |
E49052
|
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: Caraga | Statement: [Binisaya, region, Caraga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caraga Context triple: [Binisaya, region, Caraga]
-
A.
Caraga
chosen
Caraga is an administrative region in northeastern Mindanao in the Philippines, known for its rich natural resources, coastal landscapes, and significant Cebuano-speaking population.
-
B.
Negros Oriental
Negros Oriental is a province in the Central Visayas region of the Philippines, known for its coastal cities, diverse marine life, and use of Cebuano as a major local language.
-
C.
Romblon
Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
-
D.
Negros Occidental
Negros Occidental is a province in the Western Visayas region of the Philippines, known for its sugarcane industry, rich cultural heritage, and vibrant Hiligaynon-speaking population.
-
E.
Capiz
Capiz is a province in the Western Visayas region of the Philippines, known for its coastal landscapes, seafood, and use of the Hiligaynon language.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9a8518081909ba95a8ef9321f12 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2719acbc819081705bc0449a5995 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:39 p.m.