Triple
T95151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France–Switzerland border |
E1913
|
entity |
| Predicate | customsRegime |
P3949
|
FINISHED |
| Object | external border of EU customs territory |
—
|
LITERAL 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: external border of EU customs territory | Statement: [France–Switzerland border, customsRegime, external border of EU customs territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customsRegime Context triple: [France–Switzerland border, customsRegime, external border of EU customs territory]
-
A.
usedInInternationalTrade
Indicates that something participates as a good, service, or instrument in commercial exchanges between different countries.
-
B.
countryExclusiveEconomicZone
Indicates that a specified maritime area lies within the exclusive economic zone legally designated to a particular country.
-
C.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
D.
placeOfArrival
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
E.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
- F. None of above. chosen
Provenance (4 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebb3da08190a8b82564f33cde3b |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24fed6b8c819080a6c0cd3b16e6bd |
completed | Feb. 28, 2026, 2:16 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.