Triple
T15543559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevera |
E370542
|
entity |
| Predicate | hasMouth |
P1008
|
FINISHED |
| Object | Lambro |
E75302
|
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: Lambro | Statement: [Bevera, hasMouth, Lambro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambro Context triple: [Bevera, hasMouth, Lambro]
-
A.
Lambro
chosen
The Lambro is a river in northern Italy that flows through the Lombardy region, including the city of Milan, before joining the Po River.
-
B.
Vergato
Vergato is a small Italian town in the Emilia-Romagna region, situated in the Apennine hills southwest of Bologna.
-
C.
Bacchiglione River
The Bacchiglione River is a watercourse in northeastern Italy that flows through the Veneto region, including the city of Padua, before joining the Brenta River.
-
D.
Anapo River
The Anapo River is a watercourse in southeastern Sicily, Italy, known for flowing through the province of Syracuse and contributing to the region’s natural and historical landscape.
-
E.
Serchio River
The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7561b2188190a86f3d05ac16bb9a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:07 a.m.