Triple
T21667077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagabawa |
E534750
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Bagobo-Tagabawa |
—
|
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: Bagobo-Tagabawa | Statement: [Tagabawa, ethnicGroup, Bagobo-Tagabawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagobo-Tagabawa Context triple: [Tagabawa, ethnicGroup, Bagobo-Tagabawa]
-
A.
Bagobo
chosen
The Bagobo are an indigenous ethnic group in the southern Philippines known for their rich oral traditions, intricate weaving and beadwork, and distinct animist beliefs.
-
B.
Kurripako-Baniwa
Kurripako-Baniwa is an Arawakan language spoken by Indigenous communities in the Upper Rio Negro region of Brazil, Colombia, and Venezuela.
-
C.
Baliguian
Baliguian is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its rural communities and fishing-based local economy.
-
D.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
E.
Saranggani Manobo
Saranggani Manobo is an Austronesian language spoken by a Manobo ethnic group in the Sarangani and nearby regions of Mindanao in the southern Philippines.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0c236881909ffaefea8601b1c2 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:37 p.m.