Triple
T17515658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergamasque Alps and Prealps |
E426560
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Serio |
—
|
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: Serio | Statement: [Bergamasque Alps and Prealps, containsRiver, Serio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serio Context triple: [Bergamasque Alps and Prealps, containsRiver, Serio]
-
A.
Serio
chosen
Serio is a river in northern Italy that flows through the Lombardy region and joins the Adda River.
-
B.
Sério
Sério is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
-
C.
Ser
Ser is a knightly honorific used in the world of "A Song of Ice and Fire" and "Game of Thrones," equivalent to "Sir" in addressing knights.
-
D.
Seria
Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
-
E.
Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4526097388190ba1a949064962a24 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.