Triple
T7770708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Line 54 |
E179060
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Spaklerweg |
E216173
|
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: Spaklerweg | Statement: [Metro Line 54, hasStation, Spaklerweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spaklerweg Context triple: [Metro Line 54, hasStation, Spaklerweg]
-
A.
Spaklerweg
chosen
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Willemsparkweg
Willemsparkweg is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings, boutiques, and proximity to the Vondelpark.
-
C.
Buiksloterweg
Buiksloterweg is a neighborhood and ferry landing on the northern bank of the IJ in Amsterdam, serving as a key access point between Amsterdam-Noord and the city center.
-
D.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
E.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ead45c8190847365d8549eefab |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.