Triple
T14185921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuidplas |
E351574
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Waddinxveen |
E152575
|
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: Waddinxveen | Statement: [Zuidplas, sharesBorderWith, Waddinxveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waddinxveen Context triple: [Zuidplas, sharesBorderWith, Waddinxveen]
-
A.
Waddinxveen
chosen
Waddinxveen is a town and municipality in the western Netherlands known for its location along the Gouwe River and its role in regional industry and logistics.
-
B.
Hoeksche Waard
Hoeksche Waard is a rural island and municipality in South Holland, Netherlands, known for its agricultural landscape and small towns.
-
C.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
-
D.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
E.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
- 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_69fd280656a881909c565b99e85ae9bd |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:03 a.m.