Triple
T23318363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Blanca |
E590775
|
entity |
| Predicate | hasFauna |
P950
|
FINISHED |
| Object | vicuna |
—
|
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: vicuna | Statement: [Laguna Blanca, hasFauna, vicuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: vicuna Context triple: [Laguna Blanca, hasFauna, vicuna]
-
A.
vicuña
chosen
The vicuña is a wild South American camelid native to the high Andes, known for its exceptionally fine and valuable wool.
-
B.
Vichuquén
Vichuquén is a small Chilean town and municipality known for its colonial architecture and proximity to Lake Vichuquén in the Maule Region.
-
C.
Vicuña
The vicuña is a small, wild South American camelid native to the high Andes, renowned for its exceptionally fine and valuable wool.
-
D.
Vicuña
Vicuña is a small Chilean town in the Elqui Valley, known for its clear skies, observatories, and production of pisco.
-
E.
Wampis
Wampis is an indigenous language of the Jivaroan family spoken by the Wampis people in the Amazonian region of northern Peru.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.