Triple
T1322107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muntplein |
E28240
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bloemenmarkt |
E23932
|
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: Bloemenmarkt | Statement: [Muntplein, adjacentTo, Bloemenmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloemenmarkt Context triple: [Muntplein, adjacentTo, Bloemenmarkt]
-
A.
Bloemenmarkt
chosen
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
-
B.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
-
C.
Bloem
Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
-
D.
Ommelanden
Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
-
E.
Bergen op Zoom
Bergen op Zoom is a historic city in the Dutch province of North Brabant, known for its medieval center, fortifications, and location near the Scheldt estuary.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbafabec08190a18c5fd23e2b833c |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.