Triple
T2877710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lübeck |
E56916
|
entity |
| Predicate | hasCityGate |
P4365
|
FINISHED |
| Object |
Burgtor
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
|
E307253
|
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: Burgtor | Statement: [Lübeck, hasCityGate, Burgtor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgtor Context triple: [Lübeck, hasCityGate, Burgtor]
-
A.
Hampoort city gate
Hampoort city gate is a historic town gate in Grave, Netherlands, notable as a remnant of the city’s former fortifications.
-
B.
Great Gate
The Great Gate is the grand main entrance to Hanoi’s historic Temple of Literature, marking the ceremonial threshold to Vietnam’s first national university.
-
C.
Great Gate
The Great Gate is the iconic main entrance to Christ's College, Cambridge, notable for its historic architecture and prominent position on St Andrew's Street.
-
D.
Erer Gate
Erer Gate is one of the historic gateways in the ancient walled city of Harar Jugol in eastern Ethiopia.
-
E.
Landport Gate
Landport Gate is a historic fortified gateway in Gibraltar’s city walls that once served as a principal land entrance to the territory.
- 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: Burgtor Triple: [Lübeck, hasCityGate, Burgtor]
Generated description
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgtor Target entity description: Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
A.
Hampoort city gate
Hampoort city gate is a historic town gate in Grave, Netherlands, notable as a remnant of the city’s former fortifications.
-
B.
Great Gate
The Great Gate is the grand main entrance to Hanoi’s historic Temple of Literature, marking the ceremonial threshold to Vietnam’s first national university.
-
C.
Great Gate
The Great Gate is the iconic main entrance to Christ's College, Cambridge, notable for its historic architecture and prominent position on St Andrew's Street.
-
D.
Erer Gate
Erer Gate is one of the historic gateways in the ancient walled city of Harar Jugol in eastern Ethiopia.
-
E.
Landport Gate
Landport Gate is a historic fortified gateway in Gibraltar’s city walls that once served as a principal land entrance to the territory.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03158d0ec8190ba9675ece8f62033 |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b033afe0e08190b6fbf0ec786a71eb |
completed | March 10, 2026, 3:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03437b4d081908c02c01a4dd665b1 |
completed | March 10, 2026, 3:09 p.m. |
Created at: March 6, 2026, 10:03 p.m.