Triple
T15338813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drau |
E366735
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Mur |
E728314
|
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: Mur | Statement: [Drau, hasMajorTributary, Mur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mur Context triple: [Drau, hasMajorTributary, Mur]
-
A.
Mur
chosen
The Mur is a major river in Central Europe that flows through Austria, Slovenia, and Croatia before joining the Drava.
-
B.
Murck
Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
-
C.
Die
Die is a historic commune in southeastern France known for its medieval architecture and as a center of the Clairette de Die sparkling wine region.
-
D.
Mort
Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
-
E.
Mort
Mort is a masculine given name, often used as a short form of Morton or Mortimer.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.