Triple
T19589553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engstlige |
E470194
|
entity |
| Predicate | mouthOfWatercourse |
P3817
|
FINISHED |
| Object | Kander |
—
|
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: Kander | Statement: [Engstlige, mouthOfWatercourse, Kander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kander Context triple: [Engstlige, mouthOfWatercourse, Kander]
-
A.
Kander
chosen
The Kander is a river in the Bernese Oberland region of Switzerland that flows into Lake Thun and ultimately contributes its waters to the Aare River system.
-
B.
Menken
Menken is the surname of Alan Menken, the acclaimed American composer known for his music in numerous Disney animated films and Broadway productions.
-
C.
Kortchmar
Kortchmar is the surname of Danny Kortchmar, an American guitarist, songwriter, and producer known for his work with major rock and singer-songwriter artists.
-
D.
Koechner
Koechner is the surname of American actor and comedian David Koechner, known for his roles in films like "Anchorman" and the U.S. version of "The Office."
-
E.
Hamlisch
Hamlisch is the surname of Marvin Hamlisch, the acclaimed American composer and conductor known for his work in film, theater, and popular music.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.