Triple
T22030810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linz-Land District |
E544079
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hargelsberg
Hargelsberg is a small Austrian municipality in the state of Upper Austria, situated in the Linz-Land District.
|
E1541772
|
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: Hargelsberg | Statement: [Linz-Land District, hasMunicipality, Hargelsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hargelsberg Context triple: [Linz-Land District, hasMunicipality, Hargelsberg]
-
A.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
B.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
C.
Johannisberg
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
-
D.
Hagsdorf
Hagsdorf is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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: Hargelsberg Triple: [Linz-Land District, hasMunicipality, Hargelsberg]
Generated description
Hargelsberg is a small Austrian municipality in the state of Upper Austria, situated in the Linz-Land District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hargelsberg Target entity description: Hargelsberg is a small Austrian municipality in the state of Upper Austria, situated in the Linz-Land District.
-
A.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
B.
Johannisberg
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
-
C.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
D.
Hagsdorf
Hagsdorf is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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_6a0b1dbf6dc081909067a3a4129e5515 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1f291c0c8190ae9c1bad7745602d |
completed | May 18, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1f88362481908e85f943054ffab3 |
completed | May 18, 2026, 2:17 p.m. |
Created at: April 16, 2026, 8:24 p.m.