Triple
T23318266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marnixstraat |
E590773
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Leidseplein |
—
|
NE NERFINISHED |
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: Leidseplein | Statement: [Marnixstraat, near, Leidseplein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leidseplein Context triple: [Marnixstraat, near, Leidseplein]
-
A.
Leidseplein
chosen
Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
-
B.
Waagplein
Waagplein is a historic central square in Alkmaar, Netherlands, best known as the site of the city’s traditional cheese market and surrounded by notable old guild and weighing houses.
-
C.
Carnegieplein
Carnegieplein is a square in The Hague, Netherlands, best known as the public space fronting the Peace Palace that houses major international judicial institutions.
-
D.
Gelderlandplein
Gelderlandplein is a major shopping center in Amsterdam’s Buitenveldert district, featuring a wide range of retail stores, restaurants, and services.
-
E.
Luxemburgplein
Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.