Triple
T17407309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Liebenzell |
E423250
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Unterhaugstett |
—
|
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: Unterhaugstett | Statement: [Bad Liebenzell, hasSubdivision, Unterhaugstett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unterhaugstett Context triple: [Bad Liebenzell, hasSubdivision, Unterhaugstett]
-
A.
Hirschstetten
Hirschstetten is a residential and partly industrial neighborhood in Vienna, Austria, known for its local gardens and suburban character within the district of Donaustadt.
-
B.
Niederstetten
Niederstetten is a small town in the Main-Tauber district of Baden-Württemberg, Germany, known for its rural setting and historic architecture.
-
C.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
D.
Althengstett
chosen
Althengstett is a small municipality in the northern Black Forest region of Baden-Württemberg, Germany, known for its rural character and proximity to the town of Calw.
-
E.
Hasslach
The Hasslach is a river in Bavaria, Germany, that flows through the town of Kronach and is part of the Main river basin.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.