Triple
T17134480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passo del Mortirolo |
E415799
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Aprica |
E1252424
|
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: Aprica | Statement: [Passo del Mortirolo, near, Aprica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aprica Context triple: [Passo del Mortirolo, near, Aprica]
-
A.
Aprica
chosen
Aprica is a popular ski resort town in the Italian Alps known for its extensive slopes and winter sports facilities.
-
B.
Alpa
Alpa is a shopping complex located within Sunshine City, offering a variety of retail stores and services.
-
C.
Pianiga
Pianiga is a municipality in the Veneto region of northeastern Italy, situated on the mainland near Venice.
-
D.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
E.
Axarquía
Axarquía is a coastal and mountainous comarca in eastern Málaga, Spain, known for its whitewashed villages, subtropical climate, and Mediterranean beaches.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02cbb7881908aa69c3443d149d5 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01482cd918819082d18b3cb76394cb |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.