Triple
T20476233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wampis |
E502324
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Wampis |
—
|
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: Wampis | Statement: [Wampis, hasGlottologName, Wampis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wampis Context triple: [Wampis, hasGlottologName, Wampis]
-
A.
Wampis
chosen
Wampis is an indigenous language of the Jivaroan family spoken by the Wampis people in the Amazonian region of northern Peru.
-
B.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
C.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
-
D.
Guaro
Guaro is a small locality within Cueto Municipality, likely a rural community in a Spanish-speaking region.
-
E.
Camejo
Camejo is a Spanish-language surname of likely Galician or Portuguese origin, borne by various notable individuals in politics, sports, and the arts.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996584648190a1a6dfcb57782b7f |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:34 a.m.