Triple
T10601809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pardubice |
E275765
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Green Gate
Green Gate is a historic city gate and prominent architectural landmark in the Czech city of Pardubice.
|
E874085
|
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: Green Gate | Statement: [Pardubice, hasLandmark, Green Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Gate Context triple: [Pardubice, hasLandmark, Green Gate]
-
A.
Green Gate
Green Gate is a historic Renaissance-style city gate in Gdańsk, Poland, forming a grand riverside entrance between the Long Market and the Motława River.
-
B.
Priory Gardens
Priory Gardens is a public park in Orpington, Kent, England, known for its landscaped grounds, ornamental lake, and the historic Priory building at its edge.
-
C.
Priory Gardens
Priory Gardens is a historic riverside garden in Ware, Hertfordshire, known for its landscaped grounds surrounding the medieval Ware Priory.
-
D.
Court Gardens
Court Gardens is the formal Baroque garden complex surrounding the Würzburg Residence, renowned for its ornate landscaping, sculptures, and fountains.
-
E.
The Gardens
The Gardens is an inner-city suburb of Darwin in Australia's Northern Territory, known for its proximity to the George Brown Darwin Botanic Gardens and coastal areas.
- 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: Green Gate Triple: [Pardubice, hasLandmark, Green Gate]
Generated description
Green Gate is a historic city gate and prominent architectural landmark in the Czech city of Pardubice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Gate Target entity description: Green Gate is a historic city gate and prominent architectural landmark in the Czech city of Pardubice.
-
A.
Green Gate
Green Gate is a historic Renaissance-style city gate in Gdańsk, Poland, forming a grand riverside entrance between the Long Market and the Motława River.
-
B.
Priory Gardens
Priory Gardens is a public park in Orpington, Kent, England, known for its landscaped grounds, ornamental lake, and the historic Priory building at its edge.
-
C.
Priory Gardens
Priory Gardens is a historic riverside garden in Ware, Hertfordshire, known for its landscaped grounds surrounding the medieval Ware Priory.
-
D.
Court Gardens
Court Gardens is the formal Baroque garden complex surrounding the Würzburg Residence, renowned for its ornate landscaping, sculptures, and fountains.
-
E.
The Gardens
The Gardens is an inner-city suburb of Darwin in Australia's Northern Territory, known for its proximity to the George Brown Darwin Botanic Gardens and coastal areas.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded61d5c8190b13890c964b59949 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f81955c8190b629d57a034a4b76 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d961047a78819088094e02c0b99f60 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:31 p.m.