Triple
T7320382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maastricht |
E168527
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Helpoort city gate
Helpoort city gate is a medieval fortified gate in Maastricht, Netherlands, known as the oldest surviving city gate in the country.
|
E657580
|
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: Helpoort city gate | Statement: [Maastricht, hasLandmark, Helpoort city gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helpoort city gate Context triple: [Maastricht, hasLandmark, Helpoort city gate]
-
A.
Koepoort city gate
Koepoort city gate is a historic fortified entrance of the Dutch city of Middelburg, notable for its architectural and cultural heritage.
-
B.
Hampoort city gate
Hampoort city gate is a historic town gate in Grave, Netherlands, notable as a remnant of the city’s former fortifications.
-
C.
Koornmarktspoort
Koornmarktspoort is a historic medieval city gate in Kampen, the Netherlands, known as one of the town’s most prominent architectural landmarks.
-
D.
Groothoofdspoort
Groothoofdspoort is a historic city gate and waterfront landmark in Dordrecht, Netherlands, known for its picturesque location where several rivers meet.
-
E.
Waterpoort
Waterpoort is a historic city gate in Tiel, Netherlands, known as a remnant of the town’s medieval fortifications.
- 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: Helpoort city gate Triple: [Maastricht, hasLandmark, Helpoort city gate]
Generated description
Helpoort city gate is a medieval fortified gate in Maastricht, Netherlands, known as the oldest surviving city gate in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helpoort city gate Target entity description: Helpoort city gate is a medieval fortified gate in Maastricht, Netherlands, known as the oldest surviving city gate in the country.
-
A.
Koepoort city gate
Koepoort city gate is a historic fortified entrance of the Dutch city of Middelburg, notable for its architectural and cultural heritage.
-
B.
Hampoort city gate
Hampoort city gate is a historic town gate in Grave, Netherlands, notable as a remnant of the city’s former fortifications.
-
C.
Koornmarktspoort
Koornmarktspoort is a historic medieval city gate in Kampen, the Netherlands, known as one of the town’s most prominent architectural landmarks.
-
D.
Groothoofdspoort
Groothoofdspoort is a historic city gate and waterfront landmark in Dordrecht, Netherlands, known for its picturesque location where several rivers meet.
-
E.
Waterpoort
Waterpoort is a historic city gate in Tiel, Netherlands, known as a remnant of the town’s medieval fortifications.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1a7a3c81909504eb711056f302 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef01ea8c819091cd4106039c121e |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef7f7b7c8190b3361cc01b2eefc0 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f380dbe48190933e1eeff109185d |
completed | March 28, 2026, 3:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.