Triple
T8313085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgica Prima |
E194637
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Belgica Secunda |
E585928
|
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: Belgica Secunda | Statement: [Belgica Prima, borderedBy, Belgica Secunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgica Secunda Context triple: [Belgica Prima, borderedBy, Belgica Secunda]
-
A.
Belgica Secunda
chosen
Belgica Secunda was a Roman imperial province in northern Gaul, roughly corresponding to parts of modern northern France and Belgium, created during the administrative reorganization of Gallia Belgica.
-
B.
Belgica Prima
Belgica Prima was a late Roman imperial province in northeastern Gaul, centered on the important city of Augusta Treverorum (modern Trier).
-
C.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
D.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
-
E.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd957ac9788190b4253cca9b4b095d |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:54 p.m.