Triple
T8025504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romblomanon language |
E186843
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Romblomanon Bisaya |
E336293
|
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: Romblomanon Bisaya | Statement: [Romblomanon language, alternativeName, Romblomanon Bisaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romblomanon Bisaya Context triple: [Romblomanon language, alternativeName, Romblomanon Bisaya]
-
A.
Masbateño Bisaya
Masbateño Bisaya is a Visayan language variety spoken primarily on Masbate Island in the Philippines, influenced by both Cebuano and Hiligaynon.
-
B.
Romblomanon language
Romblomanon language is an Austronesian language spoken primarily on the island of Romblon and nearby areas in the central Philippines.
-
C.
Waray of Samar
Waray of Samar is a major regional language variety spoken on the island of Samar in the Eastern Visayas region of the Philippines.
-
D.
Binisaya nga Capisnon
Binisaya nga Capisnon is a regional Visayan language spoken primarily in the province of Capiz in the Philippines.
-
E.
Romblomanon
chosen
Romblomanon is an Austronesian language spoken primarily on Romblon Island and nearby areas in the central 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56d41ec08190a19cb28e2e4b5bfe |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:21 p.m.