Triple
T21517206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maynas Province |
E530875
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Maynas |
—
|
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: Maynas | Statement: [Maynas Province, namedAfter, Maynas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maynas Context triple: [Maynas Province, namedAfter, Maynas]
-
A.
Maynas
chosen
Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
-
B.
Manticao
Manticao is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
-
C.
Mazatenango
Mazatenango is a major commercial and transportation hub in southwestern Guatemala, known for its vibrant markets and regional agricultural trade.
-
D.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
E.
Cainteña
Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee814278e08190a66d516bed0726b5 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:25 p.m.