Triple
T16108943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegtal |
E390818
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Wissen |
E1168069
|
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: Wissen | Statement: [Siegtal, hasSettlement, Wissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wissen Context triple: [Siegtal, hasSettlement, Wissen]
-
A.
Wissen
chosen
Wissen is a town in the district of Altenkirchen in Rhineland-Palatinate, Germany, situated on the river Sieg.
-
B.
Know.
Know. is a 2018 studio album by American singer-songwriter Jason Mraz that features his signature upbeat, acoustic pop style and themes of love and positivity.
-
C.
Knowing
Knowing is a 2009 science fiction thriller film directed by Alex Proyas that follows a professor who discovers a prophetic numerical code predicting major global disasters.
-
D.
Knxwledge
Knxwledge is an American hip-hop producer and beatmaker known for his soulful, sample-heavy instrumentals and as one half of the duo NxWorries with Anderson .Paak.
-
E.
Cool Knowledge
Cool Knowledge is likely a component or module of the Unmap system, focused on providing informative or educational content within that broader framework.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba674788190a589104cf90f28d5 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.