Triple
T4439831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adige |
E95742
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Isarco |
E240877
|
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: Isarco | Statement: [Adige, hasTributary, Isarco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isarco Context triple: [Adige, hasTributary, Isarco]
-
A.
Isarco
chosen
Isarco is a major river in northern Italy that flows through the Alpine region of Trentino-Alto Adige/Südtirol before joining the Adige River.
-
B.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
C.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
D.
Colico
Colico is a town in the Lombardy region of northern Italy, situated on the northern tip of Lake Como and known as a local transport and tourism hub.
-
E.
Aricia
Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137b97748190b8ebecaf590baad3 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.