Triple
T21320036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreto Department |
E525586
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nauta |
—
|
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: Nauta | Statement: [Loreto Department, containsCity, Nauta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nauta Context triple: [Loreto Department, containsCity, Nauta]
-
A.
Nauta
chosen
Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
-
B.
Tona
Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
C.
Maahas
Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Noghès
Noghès is a surname most notably associated with Anthony Noghès, the founder of the Monaco Grand Prix.
-
E.
Garvanza
Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecfb7d481909cb73f95c3ddd9ed |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.