Triple
T19396797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxapampa Province |
E485211
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Pozuzo |
—
|
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: Pozuzo | Statement: [Oxapampa Province, hasMajorTown, Pozuzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pozuzo Context triple: [Oxapampa Province, hasMajorTown, Pozuzo]
-
A.
Pozuzo
chosen
Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
-
B.
Vilaflor
Vilaflor is a high-altitude village on the island of Tenerife in Spain’s Canary Islands, known for its pine forests, traditional architecture, and proximity to Teide National Park.
-
C.
Mabini
Mabini is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Mabini
Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
-
E.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.