Triple
T3212760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bicol Region |
E67318
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Albay Bikol |
E346228
|
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: Albay Bikol | Statement: [Bicol Region, language, Albay Bikol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albay Bikol Context triple: [Bicol Region, language, Albay Bikol]
-
A.
Albay Bikol
chosen
Albay Bikol is a Central Philippine language spoken in the Albay province of the Bicol Region in the Philippines, closely related to other Bikol languages.
-
B.
Rinconada Bikol
Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
-
C.
Kapampangan
Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
-
D.
Albay
Albay is a province in the Bicol Region of the Philippines, known for the iconic Mayon Volcano and its rich Bikolano culture.
-
E.
Zambales
Zambales is a coastal province in the Central Luzon region of the Philippines, known for its beaches, mangoes, and ethnolinguistic diversity.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324ea81f4819080e836dccf8254d0 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:07 p.m.