Triple
T9813644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar River |
E238341
|
entity |
| Predicate | riverMouthLocatedIn |
P3817
|
FINISHED |
| Object | Konz |
E729645
|
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: Konz | Statement: [Saar River, riverMouthLocatedIn, Konz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konz Context triple: [Saar River, riverMouthLocatedIn, Konz]
-
A.
Konz
chosen
Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
-
B.
Kon
Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
-
C.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
D.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
-
E.
Konrad
Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb22410208190b82b81a4df800f80 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc63c450819091e57030a48e7d88 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.