Triple
T3506076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgenland |
E74077
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Jennersdorf
Jennersdorf is a small town in southeastern Austria that serves as the administrative center of the Jennersdorf District in the state of Burgenland.
|
E363632
|
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: Jennersdorf | Statement: [Burgenland, hasTown, Jennersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennersdorf Context triple: [Burgenland, hasTown, Jennersdorf]
-
A.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
B.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
-
C.
Vilsbiburg
Vilsbiburg is a small town in southeastern Germany known for its historic Bavarian character and location within the region of Lower Bavaria.
-
D.
Hasselfelde
Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
-
E.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
- 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: Jennersdorf Triple: [Burgenland, hasTown, Jennersdorf]
Generated description
Jennersdorf is a small town in southeastern Austria that serves as the administrative center of the Jennersdorf District in the state of Burgenland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennersdorf Target entity description: Jennersdorf is a small town in southeastern Austria that serves as the administrative center of the Jennersdorf District in the state of Burgenland.
-
A.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
B.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
-
C.
Vilsbiburg
Vilsbiburg is a small town in southeastern Germany known for its historic Bavarian character and location within the region of Lower Bavaria.
-
D.
Hasselfelde
Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
-
E.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf38e988190998d722b95830411 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e0dc7881909af631182970d132 |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b375337e6c8190a3d2a1561c133ecb |
completed | March 13, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b375bb3f8c819097b295a2881b3b82 |
completed | March 13, 2026, 2:26 a.m. |
Created at: March 8, 2026, 3:18 p.m.