Triple
T8760565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weesperplein |
E208185
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Weesperplein square |
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 square | Statement: [Weesperplein, namedAfter, Weesperplein square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weesperplein square Context triple: [Weesperplein, namedAfter, Weesperplein square]
-
A.
Weesperplein
chosen
Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
-
B.
Vrijthof square
Vrijthof square is the central and most famous square in Maastricht, known for its historic churches, lively cafés, and frequent cultural events and festivals.
-
C.
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.
-
D.
Jaarbeursplein
Jaarbeursplein is a central square in Utrecht, Netherlands, serving as a major public space and transit hub next to the Jaarbeurs convention and exhibition center.
-
E.
Gelderlandplein
Gelderlandplein is a major shopping center in Amsterdam’s Buitenveldert district, featuring a wide range of retail stores, restaurants, and services.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df9729481908679151988b76d2f |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5197263881908038b5e2105e9170 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:40 p.m.