Triple
T18106668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalepa Baybayan |
E433361
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Kalepa Baybayan |
—
|
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: Kalepa Baybayan | Statement: [Kalepa Baybayan, nativeName, Kalepa Baybayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalepa Baybayan Context triple: [Kalepa Baybayan, nativeName, Kalepa Baybayan]
-
A.
Kalepa Baybayan
chosen
Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
-
B.
Shariff Aguak
Shariff Aguak is a municipality in the Philippine province of Maguindanao known for its political significance and history as a provincial power center.
-
C.
Datu Paglas
Datu Paglas is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
-
D.
Apolinario
Apolinario is the given name of Apolinario Mabini, a key Filipino revolutionary leader and political philosopher known as the “Brains of the Philippine Revolution.”
-
E.
Ate-Vitarte
Ate-Vitarte is a district in the eastern part of Lima, Peru, known for its rapid urban growth and mixed residential and industrial areas.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddba6b288190af9a5d9c32d16e98 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.