Triple
T3754894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambal language |
E82021
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Palauig Sambal |
E336295
|
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: Palauig Sambal | Statement: [Sambal language, hasDialect, Palauig Sambal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palauig Sambal Context triple: [Sambal language, hasDialect, Palauig Sambal]
-
A.
Sambal
chosen
Sambal is an Austronesian language spoken by the Sambal people in the Zambales region of the Philippines.
-
B.
Pinangat
Pinangat is a traditional Filipino dish from the Bicol Region made of taro leaves, coconut milk, and chilies, known for its rich, spicy flavor.
-
C.
Calabarzon
Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
-
D.
Bacong
Bacong is a coastal municipality in the province of Negros Oriental in the Philippines, known for its historic church and proximity to Dumaguete City.
-
E.
Paippalada
Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f02fb680819092ea86040b4b5bcf |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.