Triple
T12446840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarstedt |
E297421
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Leine |
E61548
|
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 Leine | Statement: [Sarstedt, locatedOn, River Leine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Leine Context triple: [Sarstedt, locatedOn, River Leine]
-
A.
River Leine
chosen
The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
-
B.
Ave River
The Ave River is a watercourse in northern Portugal that flows through the Minho region before emptying into the Atlantic Ocean near the city of Vila do Conde.
-
C.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
-
D.
River Nene
River Nene is a major river in eastern England that flows through Northamptonshire, Cambridgeshire, and Norfolk before reaching The Wash on the North Sea.
-
E.
Eure River
The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire regions.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718723bc8190987fa56147712851 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:56 p.m.