Triple
T7770705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Line 54 |
E179060
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Weesperplein |
E208185
|
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: Weesperplein | Statement: [Metro Line 54, hasStation, Weesperplein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weesperplein Context triple: [Metro Line 54, hasStation, Weesperplein]
-
A.
Weesperplein
chosen
Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
-
B.
Kennemerplein
Kennemerplein is a public square in Haarlem, Netherlands, located directly in front of the city’s main railway station and serving as a key hub for local transit and pedestrian activity.
-
C.
Paleizenplein
Paleizenplein is the prominent public square in central Brussels that fronts the Royal Palace and serves as a key ceremonial and urban landmark in the Belgian capital.
-
D.
Natieplein
Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
-
E.
Museumplein
Museumplein is a major public square and cultural hub in Amsterdam, known for housing several of the city's most important museums and hosting large events.
- 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_69c8e587067081909433d54263b79de6 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:11 p.m.