Triple
T4606591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chavacano |
E100450
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Chabacano |
E100450
|
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: Chabacano | Statement: [Chavacano, hasAlternativeName, Chabacano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chabacano Context triple: [Chavacano, hasAlternativeName, Chabacano]
-
A.
Chavacano
chosen
Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
-
B.
Caribbean Spanish
Caribbean Spanish is a major regional variety of the Spanish language spoken in Caribbean countries and coastal areas, characterized by distinctive pronunciation, rhythm, and vocabulary.
-
C.
Kaqchikel
Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
-
D.
Llanito
Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
-
E.
Veracruz Spanish
Veracruz Spanish is a coastal regional variety of Mexican Spanish characterized by Caribbean-influenced pronunciation and vocabulary spoken in the state of Veracruz.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599c50d08190ab226cd0691e29f9 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03521a9481908073d50221c80d63 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.