Triple
T14908982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillaja saponaria |
E371209
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Quillaja |
E806359
|
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: Quillaja | Statement: [Quillaja saponaria, genus, Quillaja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quillaja Context triple: [Quillaja saponaria, genus, Quillaja]
-
A.
Quillaja
chosen
Quillaja is a genus of flowering trees known for their saponin-rich bark, commonly used as a natural soap and foaming agent.
-
B.
Jaqaru
Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
-
C.
Yanahuara
Yanahuara is a historic neighborhood in the city of Arequipa, Peru, known for its colonial-era architecture, white sillar stone buildings, and scenic viewpoints of the surrounding volcanoes.
-
D.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
E.
Quilleco
Quilleco is a small town and commune in Chile’s Biobío Region, known for its proximity to the Angostura hydroelectric dam on the Biobío River.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b91cbc8190af5a3e2db460bacc |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:25 a.m.