Triple
T3456314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dam Square |
E72911
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Damstraat |
E66615
|
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: Damstraat | Statement: [Dam Square, connectsWith, Damstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damstraat Context triple: [Dam Square, connectsWith, Damstraat]
-
A.
Damstraat
chosen
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.
-
B.
Domstraat
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
-
C.
Westerstraat
Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
-
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.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb767b34819099b6f1cc4cae20a9 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:16 p.m.