Triple
T13061577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station Muiderpoort |
E329209
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dappermarkt |
E337306
|
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: Dappermarkt | Statement: [Station Muiderpoort, near, Dappermarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dappermarkt Context triple: [Station Muiderpoort, near, Dappermarkt]
-
A.
Dappermarkt
chosen
Dappermarkt is a famous daily street market in Amsterdam known for its diverse food, clothing, and multicultural atmosphere.
-
B.
La Ciudadela Market
La Ciudadela Market is a famous traditional handicrafts market in Mexico City known for its wide variety of Mexican folk art, textiles, and souvenirs.
-
C.
Marktsteft
Marktsteft is a small town in the Lower Franconia region of Bavaria, Germany, situated on the Main River and known for its historic harbor and wine-growing surroundings.
-
D.
Omicho Market
Omicho Market is a historic and bustling fresh food market in Kanazawa, Japan, renowned for its seafood, local produce, and traditional atmosphere.
-
E.
The Marketplace
The Marketplace is a central commercial area where vendors and shoppers gather for buying and selling goods 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.