Triple
T5298233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Peru |
E119907
|
entity |
| Predicate | hasVolcano |
P6356
|
FINISHED |
| Object | Ubinas |
E53866
|
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: Ubinas | Statement: [Southern Peru, hasVolcano, Ubinas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubinas Context triple: [Southern Peru, hasVolcano, Ubinas]
-
A.
Ubinas volcano
chosen
Ubinas volcano is an active stratovolcano in southern Peru known for its frequent eruptions and status as one of the country's most hazardous volcanoes.
-
B.
Nguru
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
-
C.
Tambomachay
Tambomachay is an Inca archaeological site near Cusco, Peru, known for its finely crafted stonework and ceremonial water fountains.
-
D.
Borusa
Borusa is a powerful and politically influential Time Lord from Gallifrey in the Doctor Who universe, known for his complex relationship with the Doctor and his eventual downfall.
-
E.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8506a90c8190bf311f280a061d1a |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10e8212081908376eafc0291e078 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.