Triple
T1645053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leine |
E35561
|
entity |
| Predicate | mouthOf |
P1008
|
FINISHED |
| Object | Aller |
E29543
|
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: Aller | Statement: [Leine, mouthOf, Aller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aller Context triple: [Leine, mouthOf, Aller]
-
A.
Aller
chosen
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
B.
Aalter
Aalter is a municipality in the Belgian province of East Flanders, known for its rural character and location between Ghent and Bruges.
-
C.
Anyer
Anyer is a coastal town in Indonesia known for its beaches on the western tip of Java and as a popular seaside getaway from Jakarta.
-
D.
Allons
Allons is the official motto of the U.S. Army’s 11th Armored Cavalry Regiment, reflecting its spirit of readiness and forward movement.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a26350819087e7a87b52561143 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.