Triple
T2858428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstelveen |
E63258
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Aalsmeer |
E80730
|
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: Aalsmeer | Statement: [Amstelveen, borderedBy, Aalsmeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aalsmeer Context triple: [Amstelveen, borderedBy, Aalsmeer]
-
A.
Aalsmeer
chosen
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
-
B.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
C.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
D.
Purmerend
Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9008bdbd4819082fd91ded34d5bbb |
completed | March 29, 2026, 10:35 a.m. |
Created at: March 6, 2026, 10:02 p.m.