Triple
T565129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Holland |
E13536
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Hoeksche Waard |
E90858
|
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: Hoeksche Waard | Statement: [South Holland, containsCity, Hoeksche Waard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoeksche Waard Context triple: [South Holland, containsCity, Hoeksche Waard]
-
A.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
B.
Hoek van Holland
Hoek van Holland is a coastal town in the Netherlands known for its North Sea beaches and its strategic location at the mouth of the New Waterway shipping canal.
-
C.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
D.
Oud-Beijerland
chosen
Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
-
E.
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.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a74793481908fee3baff0b1d348 |
completed | March 1, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf2ffb088190a49686609d7de213 |
completed | March 8, 2026, 6:25 p.m. |
Created at: March 1, 2026, 7:32 p.m.