Triple
T8098662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasne |
E189049
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | River Lasne |
E713497
|
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: River Lasne | Statement: [Lasne, traversedBy, River Lasne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Lasne Context triple: [Lasne, traversedBy, River Lasne]
-
A.
River Lasne
chosen
River Lasne is a small river in Walloon Brabant, Belgium, known for flowing through the rural municipality that shares its name.
-
B.
River Pleiße
The River Pleiße is a small river in central Germany that flows through the city and district of Leipzig, contributing to the region’s historic waterways and green corridors.
-
C.
Lauch River
The Lauch River is a small waterway in northeastern France that flows through the historic city of Colmar, contributing to its picturesque canals and “Little Venice” district.
-
D.
Lorze River
The Lorze River is a Swiss river in the canton of Zug, known for flowing through the Ägeri Valley and the Höllgrotten caves before joining the Reuss.
-
E.
Arpath River
Arpath River is a mountain river in the Anantnag district of Jammu and Kashmir, India, known for its cold, clear waters fed by Himalayan glaciers and springs.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce020086788190be74e8e97d87013d |
completed | April 2, 2026, 5:43 a.m. |
Created at: March 30, 2026, 5:30 p.m.