Triple
T4497103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegnitz River |
E100723
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object |
Henkersteg
Henkersteg is a historic wooden footbridge in Nuremberg, Germany, known for its medieval architecture and picturesque crossing over the Pegnitz River.
|
E446364
|
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: Henkersteg | Statement: [Pegnitz River, hasBridge, Henkersteg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henkersteg Context triple: [Pegnitz River, hasBridge, Henkersteg]
-
A.
Holbeinsteg
Holbeinsteg is a pedestrian suspension bridge over the River Main in Frankfurt, Germany, linking the museum district on the south bank with the city center.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
D.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
E.
Hoheneggelsen
Hoheneggelsen is a small village in Lower Saxony, Germany, known primarily as the birthplace of Nazi SS officer Otto Ohlendorf.
- 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: Henkersteg Triple: [Pegnitz River, hasBridge, Henkersteg]
Generated description
Henkersteg is a historic wooden footbridge in Nuremberg, Germany, known for its medieval architecture and picturesque crossing over the Pegnitz River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henkersteg Target entity description: Henkersteg is a historic wooden footbridge in Nuremberg, Germany, known for its medieval architecture and picturesque crossing over the Pegnitz River.
-
A.
Holbeinsteg
Holbeinsteg is a pedestrian suspension bridge over the River Main in Frankfurt, Germany, linking the museum district on the south bank with the city center.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
-
D.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
E.
Hoheneggelsen
Hoheneggelsen is a small village in Lower Saxony, Germany, known primarily as the birthplace of Nazi SS officer Otto Ohlendorf.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bf3ff48190b3aae0136d7fce45 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67c4e7c88190b9b9cab49444b515 |
completed | March 20, 2026, 3:29 p.m. |
| NEDg | Description generation | batch_69bd683417b08190bc4e08638a30c0ec |
completed | March 20, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd68b4681c8190abb170ccb054cd05 |
completed | March 20, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1 p.m.