Triple
T11062603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poro |
E261543
|
entity |
| Predicate | localLanguage |
P1252
|
FINISHED |
| Object | Waray-Waray |
E335884
|
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: Waray-Waray | Statement: [Poro, localLanguage, Waray-Waray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waray-Waray Context triple: [Poro, localLanguage, Waray-Waray]
-
A.
Binisaya
Binisaya is a major Austronesian language of the Philippines, widely spoken in the Central Visayas and parts of Mindanao.
-
B.
Waray of Samar
chosen
Waray of Samar is a major regional language variety spoken on the island of Samar in the Eastern Visayas region of the Philippines.
-
C.
Tagalog
Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
-
D.
Bikol language
The Bikol language is an Austronesian language spoken primarily in the Bicol Region of the Philippines, known for its several regional varieties and close relation to other Central Philippine languages.
-
E.
Masbateño Bisaya
Masbateño Bisaya is a Visayan language variety spoken primarily on Masbate Island in the Philippines, influenced by both Cebuano and Hiligaynon.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4832d59c08190ab120b991bc8ed3b |
completed | April 19, 2026, 7:24 a.m. |
Created at: April 8, 2026, 9:26 p.m.