Triple
T7128760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue de la Loi |
E166132
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Wetstraat |
E214230
|
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: Wetstraat | Statement: [Rue de la Loi, hasNameInDutch, Wetstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetstraat Context triple: [Rue de la Loi, hasNameInDutch, Wetstraat]
-
A.
Wetstraat
chosen
Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
-
B.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
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.
Vredenburgkade
Vredenburgkade is a street in central Utrecht, Netherlands, known for hosting the major music complex TivoliVredenburg.
-
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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66b230c819090ddbc5396868305 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33bf244819096db1351ebf62413 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.