Triple
T3123234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga |
E65234
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Bicolano |
E67318
|
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: Bicolano | Statement: [Naga, languageSpoken, Bicolano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bicolano Context triple: [Naga, languageSpoken, Bicolano]
-
A.
Boholano
Boholano is a regional variety of the Cebuano (Binisaya) language spoken primarily on the island of Bohol in the Philippines.
-
B.
Kapampangan
Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
-
C.
Caraga
Caraga is an administrative region in northeastern Mindanao in the Philippines, known for its rich natural resources, coastal landscapes, and significant Cebuano-speaking population.
-
D.
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.
-
E.
Bicol Region
chosen
Bicol Region is an administrative region in the southeastern part of Luzon in the Philippines, known for its active Mayon Volcano, spicy cuisine, and distinct Bikol-speaking 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52c105c8190b8128e66d9b9e8a0 |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f72c2048190ab2aa40a109f5976 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.