Triple
T543594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube |
E12683
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Inn |
E41132
|
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: Inn | Statement: [Danube, hasTributary, Inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inn Context triple: [Danube, hasTributary, Inn]
-
A.
Inn
chosen
The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
B.
The Inn Kitchen
"The Inn Kitchen" is a short story by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that evokes the atmosphere and characters of an English inn.
-
C.
Stone House
Stone House is a historic Civil War-era structure on the Manassas battlefield in Virginia that served as a field hospital during the First and Second Battles of Bull Run.
-
D.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
E.
Plaza Hotel
The Plaza Hotel is a historic luxury hotel located at the southeast corner of Central Park in Manhattan, renowned for its opulent architecture and frequent appearances in films and literature.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 |
completed | March 1, 2026, 11:31 p.m. |
Created at: March 1, 2026, 7:32 p.m.