Triple
T22473283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansfelden |
E555559
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Nettingsdorf
Nettingsdorf is a locality within the municipality of Ansfelden in Upper Austria, known historically for its industrial facilities, particularly in the paper industry.
|
E1566099
|
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: Nettingsdorf | Statement: [Ansfelden, hasSubdivision, Nettingsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nettingsdorf Context triple: [Ansfelden, hasSubdivision, Nettingsdorf]
-
A.
Fritzdorf
Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
-
B.
Schlaitdorf
Schlaitdorf is a small municipality in the German state of Baden-Württemberg, located within the Stuttgart metropolitan region.
-
C.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
-
D.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
E.
Plittersdorf
Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg 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: Nettingsdorf Triple: [Ansfelden, hasSubdivision, Nettingsdorf]
Generated description
Nettingsdorf is a locality within the municipality of Ansfelden in Upper Austria, known historically for its industrial facilities, particularly in the paper industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nettingsdorf Target entity description: Nettingsdorf is a locality within the municipality of Ansfelden in Upper Austria, known historically for its industrial facilities, particularly in the paper industry.
-
A.
Fritzdorf
Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
-
B.
Schlaitdorf
Schlaitdorf is a small municipality in the German state of Baden-Württemberg, located within the Stuttgart metropolitan region.
-
C.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
-
D.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
E.
Plittersdorf
Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf7935b088190b0b8098ee877302f |
completed | May 19, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf7f426b88190b3b6897b116b7809 |
completed | May 19, 2026, 5:41 a.m. |
Created at: April 16, 2026, 8:49 p.m.