Triple
T21861610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algonquin Regiment |
E539775
|
entity |
| Predicate | battleHonour |
P12198
|
FINISHED |
| Object | The Hochwald |
—
|
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: The Hochwald | Statement: [Algonquin Regiment, battleHonour, The Hochwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hochwald Context triple: [Algonquin Regiment, battleHonour, The Hochwald]
-
A.
Hochwald
chosen
Hochwald is a forested upland region in the Hunsrück mountains of western Germany, known for its high plateaus and natural landscapes.
-
B.
Hochwald
Hochwald is a Swiss municipality in the canton of Solothurn, known for its rural character and location in the Jura foothills.
-
C.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
D.
Heuckewalde
Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
-
E.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63ae3708190b7ee04c1487713c9 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.