Triple
T23124838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kinzig |
E1152666
|
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: Kinzig | Statement: [Main-Kinzig-Kreis, namedAfter, Kinzig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinzig Context triple: [Main-Kinzig-Kreis, namedAfter, Kinzig]
-
A.
Kinzig
The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
-
B.
Neckar
The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
-
C.
Butzbach
Butzbach is a historic town in the German state of Hesse, known for its well-preserved old town and traditional half-timbered architecture.
-
D.
Regnitz
The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
-
E.
Kinzig (Main) River
chosen
The Kinzig (Main) River is a tributary of Germany’s Main River that flows through the state of Hesse, passing towns such as Hanau and Gelnhausen before joining the Main.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf276ac0819085dc4caac7dd8b0c |
completed | May 19, 2026, 10:07 p.m. |
Created at: April 17, 2026, 3:59 p.m.