Triple
T3199683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bikol |
E67019
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Albay Bikol |
E340173
|
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: [Central Bikol, closelyRelatedTo, Albay Bikol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albay Bikol Context triple: [Central Bikol, closelyRelatedTo, Albay Bikol]
-
A.
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.
-
B.
Kapampangan
Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
-
C.
Albay
chosen
Albay is a province in the Bicol Region of the Philippines, known for the iconic Mayon Volcano and its rich Bikolano culture.
-
D.
Zambales
Zambales is a coastal province in the Central Luzon region of the Philippines, known for its beaches, mangoes, and ethnolinguistic diversity.
-
E.
Pampanga
Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e822b64c8190b053234690841d38 |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:07 p.m.