Triple
T7620912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond District (Antwerp) |
E172487
|
entity |
| Predicate | mainStreets |
P461
|
FINISHED |
| Object |
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
|
E679559
|
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: Schupstraat | Statement: [Diamond District (Antwerp), mainStreets, Schupstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schupstraat Context triple: [Diamond District (Antwerp), mainStreets, Schupstraat]
-
A.
Vijzelstraat
Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
-
B.
Raadhuisstraat
Raadhuisstraat is a central street in Amsterdam, Netherlands, known for connecting Dam Square to the Jordaan district and for its historic architecture and shops.
-
C.
Heemstedestraat
Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
D.
Domstraat
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
-
E.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- 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: Schupstraat Triple: [Diamond District (Antwerp), mainStreets, Schupstraat]
Generated description
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schupstraat Target entity description: Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
A.
Vijzelstraat
Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
-
B.
Raadhuisstraat
Raadhuisstraat is a central street in Amsterdam, Netherlands, known for connecting Dam Square to the Jordaan district and for its historic architecture and shops.
-
C.
Heemstedestraat
Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
D.
Domstraat
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
-
E.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89aa7b264819096ddeda8e4c5ddb4 |
completed | March 29, 2026, 3:21 a.m. |
| NEDg | Description generation | batch_69c89d0b32848190921807e453474ec6 |
completed | March 29, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d6b75b881908886ea9505c0b582 |
completed | March 29, 2026, 3:32 a.m. |
Created at: March 27, 2026, 3:55 p.m.