Triple
T21265890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marcelino, Zambales |
E524125
|
entity |
| Predicate | hasLocalLanguages |
P35567
|
FINISHED |
| Object | Sambal |
—
|
NE NERFINISHED |
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: Sambal | Statement: [San Marcelino, Zambales, hasLocalLanguages, Sambal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambal Context triple: [San Marcelino, Zambales, hasLocalLanguages, Sambal]
-
A.
Sambal
chosen
Sambal is an Austronesian language spoken by the Sambal people in the Zambales region of the Philippines.
-
B.
Rendang
Rendang is a rich, slow-cooked Indonesian curry-like dish of spiced meat, especially associated with the Minangkabau people of West Sumatra.
-
C.
Rendang
Rendang is a village and district in eastern Bali, Indonesia, known as a gateway area to the sacred volcano Mount Agung.
-
D.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
E.
Duck Sauce
Duck Sauce is a Canadian-American DJ and production duo known for their disco-influenced house tracks and global hit "Barbra Streisand."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ebe09081909f74301e91b4d3d7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.