Triple
T14185695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotterdam Metro |
E351568
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | De Akkers |
E351567
|
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: De Akkers | Statement: [Rotterdam Metro, terminus, De Akkers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Akkers Context triple: [Rotterdam Metro, terminus, De Akkers]
-
A.
De Akkers
chosen
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
B.
Oversticht
Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
-
C.
Dorp aan de rivier
Dorp aan de rivier is a 1958 Dutch drama film directed by Fons Rademakers, regarded as a classic of Dutch cinema and one of the country's early internationally acclaimed films.
-
D.
De Waterkant
De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
-
E.
De Koperwiek
De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.