Triple
T17102573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lünen |
E415014
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Lünen Town Hall |
E337295
|
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: Lünen Town Hall | Statement: [Lünen, hasLandmark, Lünen Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lünen Town Hall Context triple: [Lünen, hasLandmark, Lünen Town Hall]
-
A.
Lünen Town Hall
chosen
Lünen Town Hall is the central municipal building and administrative seat of the city of Lünen in North Rhine-Westphalia, Germany.
-
B.
Lüneburg Town Hall
Lüneburg Town Hall is a historic and architecturally significant city hall in Lüneburg, Germany, renowned for its medieval and baroque elements.
-
C.
Leonberg town hall
Leonberg town hall is the main municipal administrative building and local government seat of the town of Leonberg in Baden-Württemberg, Germany.
-
D.
Heilbronn Town Hall
Heilbronn Town Hall is a historic Renaissance building in Heilbronn, Germany, best known for its ornate astronomical clock and richly decorated façade.
-
E.
Kaiserslautern Town Hall
Kaiserslautern Town Hall is a prominent modernist high-rise administrative building and architectural landmark in the city of Kaiserslautern, Germany.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2495c88190b5b16a006a994faf |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.