Triple
T22030820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linz-Land District |
E544079
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sankt Marien
Sankt Marien is a municipality in Upper Austria known for its rural character and proximity to the city of Linz.
|
E1512976
|
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: Sankt Marien | Statement: [Linz-Land District, hasMunicipality, Sankt Marien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sankt Marien Context triple: [Linz-Land District, hasMunicipality, Sankt Marien]
-
A.
St Marienkirche
St Marienkirche is a historic Christian church in the German town of Treuenbrietzen, notable for its traditional architecture and local cultural significance.
-
B.
Martinskirche
Martinskirche is a historic church and prominent architectural landmark in the German town of Ladenburg.
-
C.
St. Marien church
St. Marien church is a historic Christian church and prominent architectural landmark located in the town of Marienberg, Germany.
-
D.
St. Marien church
St. Marien church is a Christian parish church in the town of Riesa, Germany, serving as a notable local place of worship and historical landmark.
-
E.
St. Marien church
St. Marien church is a historic Christian church and notable architectural landmark located in the town of Gengenbach in southwestern Germany.
- 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: Sankt Marien Triple: [Linz-Land District, hasMunicipality, Sankt Marien]
Generated description
Sankt Marien is a municipality in Upper Austria known for its rural character and proximity to the city of Linz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sankt Marien Target entity description: Sankt Marien is a municipality in Upper Austria known for its rural character and proximity to the city of Linz.
-
A.
St Marienkirche
St Marienkirche is a historic Christian church in the German town of Treuenbrietzen, notable for its traditional architecture and local cultural significance.
-
B.
Martinskirche
Martinskirche is a historic church and prominent architectural landmark in the German town of Ladenburg.
-
C.
St. Marien church
St. Marien church is a historic Christian church and prominent architectural landmark located in the town of Marienberg, Germany.
-
D.
St. Marien church
St. Marien church is a Christian parish church in the town of Riesa, Germany, serving as a notable local place of worship and historical landmark.
-
E.
St. Marien church
St. Marien church is a historic Christian church and notable architectural landmark located in the town of Gengenbach in southwestern Germany.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738be1508190badb9b080d9179bf |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a740618d0819087a39bf0f81ccc89 |
completed | May 18, 2026, 2:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a744f54e0819098f4431027d4545a |
completed | May 18, 2026, 2:07 a.m. |
Created at: April 16, 2026, 8:24 p.m.