Triple
T10586703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melk Abbey |
E249872
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Melk |
E801715
|
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: Melk | Statement: [Melk Abbey, locatedIn, Melk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melk Context triple: [Melk Abbey, locatedIn, Melk]
-
A.
Melk
chosen
Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
-
B.
Ketsch
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
-
C.
Berghem
Berghem is a village in the Dutch province of North Brabant that is now administratively part of the municipality of Oss.
-
D.
Ternat
Ternat is a municipality in the Flemish Brabant province of Belgium, known for its suburban character and proximity to Brussels.
-
E.
Bega
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.