Triple
T22609582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SERNANP |
E566663
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SERNANP |
—
|
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: SERNANP | Statement: [SERNANP, shortName, SERNANP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SERNANP Context triple: [SERNANP, shortName, SERNANP]
-
A.
SERNANP
chosen
SERNANP is Peru’s national authority responsible for managing and conserving the country’s system of protected natural areas.
-
B.
SERNAP
SERNAP is Bolivia’s national government agency responsible for managing and protecting the country’s system of protected natural areas and parks.
-
C.
Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
-
D.
SARON
SARON is a Swiss franc overnight reference interest rate used as a robust alternative to LIBOR in financial markets.
-
E.
Sernf
Sernf is a river in the canton of Glarus in eastern Switzerland that flows through the Sernftal valley before joining the Linth.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e9245c81908e36ffcd16737a9d |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.