Triple
T4670896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisack |
E102958
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Sterzing
Sterzing is a small medieval town in South Tyrol, northern Italy, known for its well-preserved historic center and Alpine surroundings.
|
E460816
|
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: Sterzing | Statement: [Eisack, flowsThrough, Sterzing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterzing Context triple: [Eisack, flowsThrough, Sterzing]
-
A.
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.
-
B.
Weidling
Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
-
C.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
-
D.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
E.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
- 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: Sterzing Triple: [Eisack, flowsThrough, Sterzing]
Generated description
Sterzing is a small medieval town in South Tyrol, northern Italy, known for its well-preserved historic center and Alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sterzing Target entity description: Sterzing is a small medieval town in South Tyrol, northern Italy, known for its well-preserved historic center and Alpine surroundings.
-
A.
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.
-
B.
Weidling
Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
-
C.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
-
D.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
E.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0390c238819089fb54648dfe1e64 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0542daf08190b792855c8129ac50 |
completed | March 21, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05c1dcd48190a08a5748e86a5ac8 |
completed | March 21, 2026, 2:43 a.m. |
Created at: March 20, 2026, 1:15 p.m.