Triple
T11625636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domplein Utrecht |
E276260
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Domstraat |
E295549
|
NE FINISHED |
How this triple was built (2 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: Domstraat | Statement: [Domplein Utrecht, near, Domstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domstraat Context triple: [Domplein Utrecht, near, Domstraat]
-
A.
Domstraat
chosen
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
-
B.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
C.
Damstraat
Damstraat is a central street in Amsterdam’s historic city center, linking Dam Square with the Red Light District and lined with shops, cafés, and tourist-oriented businesses.
-
D.
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.
-
E.
Hartenstraat
Hartenstraat is one of the small, picturesque shopping streets in Amsterdam’s historic Negen Straatjes (Nine Streets) district, known for its boutiques, cafés, and canal-side charm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019075f4c81908e0cde830231b229 |
completed | April 28, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.