Triple
T14186216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Westland |
E351583
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ter Heijde |
E351587
|
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: Ter Heijde | Statement: [municipality of Westland, containsSettlement, Ter Heijde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ter Heijde Context triple: [municipality of Westland, containsSettlement, Ter Heijde]
-
A.
Ter Heijde
chosen
Ter Heijde is a small coastal village in the Dutch province of South Holland, known for its North Sea beach and seaside character.
-
B.
Woudwetering
Woudwetering is a Dutch waterway in South Holland that serves as an important local canal near the village of Woubrugge.
-
C.
De Horst
De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
-
D.
Molenwaard
Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
E.
Wijde Heisteeg
Wijde Heisteeg is a small historic side street in Amsterdam’s canal district, forming part of the picturesque Negen Straatjes shopping and café area.
- 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.