Triple
T14481859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pestarena |
E359121
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Valle Anzasca |
E359114
|
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: Valle Anzasca | Statement: [Pestarena, partOf, Valle Anzasca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valle Anzasca Context triple: [Pestarena, partOf, Valle Anzasca]
-
A.
Valle Anzasca
chosen
Valle Anzasca is a valley in the Italian Alps of Piedmont, known for its scenic mountain landscapes and traditional alpine villages.
-
B.
Vallegrande
Vallegrande is a small town in the Santa Cruz Department of Bolivia, known historically as the place where Che Guevara’s body was displayed after his execution.
-
C.
Valle Grande
Valle Grande is a scenic canyon and reservoir area in Argentina’s Mendoza province, popular for outdoor activities like rafting, hiking, and camping.
-
D.
Valle Grande
Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
-
E.
Calamocha
Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8ccd608190afd23c903cd5686a |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.