Triple
T9498741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadt an der Waldnaab (district) |
E229079
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
|
E802913
|
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: Störnstein | Statement: [Neustadt an der Waldnaab (district), contains, Störnstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Störnstein Context triple: [Neustadt an der Waldnaab (district), contains, Störnstein]
-
A.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
C.
Stannern
Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
-
D.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
E.
Striegistal
Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
- 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: Störnstein Triple: [Neustadt an der Waldnaab (district), contains, Störnstein]
Generated description
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Störnstein Target entity description: Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
A.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
C.
Stannern
Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
-
D.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
E.
Striegistal
Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d412a008190adc82e1e3d56d107 |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d1313e3bac819097169f2f34cb19b4 |
completed | April 4, 2026, 3:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d131a254b08190a071e838c3e56513 |
completed | April 4, 2026, 3:43 p.m. |
Created at: March 30, 2026, 7:56 p.m.