Triple
T13949112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesse-Butzbach |
E335470
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Butzbach |
E1166182
|
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: Butzbach | Statement: [Hesse-Butzbach, namedAfter, Butzbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butzbach Context triple: [Hesse-Butzbach, namedAfter, Butzbach]
-
A.
Butzbach
chosen
Butzbach is a historic town in the German state of Hesse, known for its well-preserved old town and traditional half-timbered architecture.
-
B.
Siegtal
Siegtal is the valley region through which the river Sieg flows in western Germany, known for its scenic landscapes and small towns.
-
C.
Kinzig
The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
-
D.
Schwarzbach
Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
-
E.
Enkenbach
Enkenbach is a locality in the German state of Rhineland-Palatinate, situated near Kaiserslautern and served by regional rail connections.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677935408190a28af4cd34d82aa4 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 9, 2026, 10:17 p.m.