Triple
T3869829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcheren Campaign |
E91955
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Walcheren |
E73296
|
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: Walcheren | Statement: [Walcheren Campaign, location, Walcheren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walcheren Context triple: [Walcheren Campaign, location, Walcheren]
-
A.
Walcheren
chosen
Walcheren is a peninsula and former island in the Dutch province of Zeeland, known for its coastal towns, beaches, and strategic location at the mouth of the Western Scheldt.
-
B.
Ille
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
C.
Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
-
D.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
E.
Warburg
Warburg is a prominent German-Jewish banking and philanthropic family historically influential in international finance and economic policy.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec533828819080f52dae15fdbecd |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124769c081909111b4bcac6baa78 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.