Triple
T16502886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Magpie |
E400841
|
entity |
| Predicate | meaningOf |
P8493
|
FINISHED |
| Object | Schwarze Elster |
E93313
|
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: Schwarze Elster | Statement: [Black Magpie, meaningOf, Schwarze Elster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarze Elster Context triple: [Black Magpie, meaningOf, Schwarze Elster]
-
A.
Schwarze Elster
chosen
Schwarze Elster is a river in eastern Germany that flows through Saxony, Brandenburg, and Saxony-Anhalt before joining the Elbe.
-
B.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
C.
Die Adler
Die Adler is the popular nickname for Eintracht Frankfurt, the German football club known for its eagle emblem and passionate fan base.
-
D.
Schwarze Lütschine
Schwarze Lütschine is a mountain river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen Valley before joining the Weisse Lütschine.
-
E.
The Bird
The Bird is the costumed falcon mascot that represents the United States Air Force Academy’s athletic teams.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e50436c8190836a1bc2baa188b1 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.