Triple
T15946806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alz |
E386705
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object |
Alzbrücke Seebruck
Alzbrücke Seebruck is a bridge in Seebruck, Bavaria, that spans the river Alz near the northern shore of Lake Chiemsee.
|
E1193895
|
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: Alzbrücke Seebruck | Statement: [Alz, hasBridge, Alzbrücke Seebruck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alzbrücke Seebruck Context triple: [Alz, hasBridge, Alzbrücke Seebruck]
-
A.
Aspernbrücke
Aspernbrücke is a bridge in Vienna, Austria, known for carrying traffic across the Danube Canal near the city center.
-
B.
Boschbrücke
Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
-
C.
Schlossbrücke
Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
-
D.
Herdbrücke
Herdbrücke is a historic bridge in Ulm, Germany, spanning the Danube and connecting the city center with the neighboring town of Neu-Ulm.
-
E.
Alte Brücke
Alte Brücke is a historic stone bridge in Saarbrücken, Germany, known as one of the city’s oldest architectural landmarks spanning the Saar River.
- 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: Alzbrücke Seebruck Triple: [Alz, hasBridge, Alzbrücke Seebruck]
Generated description
Alzbrücke Seebruck is a bridge in Seebruck, Bavaria, that spans the river Alz near the northern shore of Lake Chiemsee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alzbrücke Seebruck Target entity description: Alzbrücke Seebruck is a bridge in Seebruck, Bavaria, that spans the river Alz near the northern shore of Lake Chiemsee.
-
A.
Aspernbrücke
Aspernbrücke is a bridge in Vienna, Austria, known for carrying traffic across the Danube Canal near the city center.
-
B.
Boschbrücke
Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
-
C.
Schlossbrücke
Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
-
D.
Herdbrücke
Herdbrücke is a historic bridge in Ulm, Germany, spanning the Danube and connecting the city center with the neighboring town of Neu-Ulm.
-
E.
Alte Brücke
Alte Brücke is a historic stone bridge in Saarbrücken, Germany, known as one of the city’s oldest architectural landmarks spanning the Saar River.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:53 a.m.