Triple
T10473108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koksijde |
E246975
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | De Panne |
E638512
|
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 Panne | Statement: [Koksijde, borderedBy, De Panne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Panne Context triple: [Koksijde, borderedBy, De Panne]
-
A.
De Panne
chosen
De Panne is a Belgian seaside resort town on the North Sea coast, known for its beaches, dunes, and as the westernmost point of Belgium.
-
B.
Veurne
Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
-
C.
Gavere
Gavere is a municipality in the Belgian province of East Flanders, known for its rural character and several constituent villages.
-
D.
Zierikzee
Zierikzee is a historic Dutch town on the island of Schouwen-Duiveland in Zeeland, known for its well-preserved medieval center and maritime heritage.
-
E.
Oosterdiep
Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.