Triple
T3123216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga |
E65234
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Camarines Sur |
E391245
|
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: Camarines Sur | Statement: [Naga, isPartOf, Camarines Sur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camarines Sur Context triple: [Naga, isPartOf, Camarines Sur]
-
A.
Camarines Sur
chosen
Camarines Sur is a province in the Bicol Region of the Philippines known for its rich Bikolano culture, religious heritage sites, and natural attractions such as lakes, mountains, and eco-tourism destinations.
-
B.
Camarines Norte
Camarines Norte is a province in the Bicol Region of the Philippines known for its gold mining history, Pacific coastline, and islands with white-sand beaches.
-
C.
Batangas
Batangas is a province in the Calabarzon region of the Philippines known for its beaches, diving spots, and the Taal Volcano.
-
D.
Pangasinan
Pangasinan is a populous coastal province in the Philippines known for its rich Ilocano and Pangasinense culture, agriculture, and tourism sites such as the Hundred Islands National Park.
-
E.
Pangasinan
Pangasinan is an Austronesian language spoken primarily in the Pangasinan province and surrounding areas of northwestern Luzon in the Philippines.
- 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_69b503d3f19c819088061d3c68757957 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:04 p.m.