Triple
T13227566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladenburg |
E314920
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Martinskirche
Martinskirche is a historic church and prominent architectural landmark in the German town of Ladenburg.
|
E1028037
|
NE FINISHED |
How this triple was built (4 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: Martinskirche | Statement: [Ladenburg, hasLandmark, Martinskirche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martinskirche Context triple: [Ladenburg, hasLandmark, Martinskirche]
-
A.
Christophoruskirche
Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
-
B.
Kilianskirche
Kilianskirche is a historic church in the German town of Korbach, notable for its medieval architecture and regional cultural significance.
-
C.
Kilianskirche
Kilianskirche is a prominent late Gothic church in Heilbronn, Germany, noted for its distinctive tower and historical significance to the city.
-
D.
Paulinerkirche
Paulinerkirche was a historic university church in Leipzig, Germany, renowned as a spiritual and cultural center of Leipzig University until its demolition in 1968.
-
E.
Peterskirche
Peterskirche is a prominent historic church in Görlitz, Germany, known for its impressive Gothic architecture and twin towers overlooking the Neisse River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martinskirche Triple: [Ladenburg, hasLandmark, Martinskirche]
Generated description
Martinskirche is a historic church and prominent architectural landmark in the German town of Ladenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martinskirche Target entity description: Martinskirche is a historic church and prominent architectural landmark in the German town of Ladenburg.
-
A.
Christophoruskirche
Christophoruskirche is a historic Christian church and local landmark in the town of Altenau in Germany’s Harz region.
-
B.
Kilianskirche
Kilianskirche is a prominent late Gothic church in Heilbronn, Germany, noted for its distinctive tower and historical significance to the city.
-
C.
Kilianskirche
Kilianskirche is a historic church in the German town of Korbach, notable for its medieval architecture and regional cultural significance.
-
D.
Paulinerkirche
Paulinerkirche was a historic university church in Leipzig, Germany, renowned as a spiritual and cultural center of Leipzig University until its demolition in 1968.
-
E.
Peterskirche
Peterskirche is a prominent historic church in Görlitz, Germany, known for its impressive Gothic architecture and twin towers overlooking the Neisse River.
- F. None of above. chosen
Provenance (5 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70099f98081909877392c9ec49766 |
completed | May 3, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f702620bc881909d4348fd2c709232 |
completed | May 3, 2026, 8:08 a.m. |
Created at: April 9, 2026, 9:21 p.m.