Triple
T29937354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carinthia |
E760404
|
entity |
| Predicate | borderTypeWithGermany |
P196361
|
FINISHED |
| Object | international land border |
—
|
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: international land border | Statement: [Carinthia, borderTypeWithGermany, international land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeWithGermany Context triple: [Carinthia, borderTypeWithGermany, international land border]
-
A.
borderTypeWithAustria
Indicates the type or nature of the border that an entity shares with Austria.
-
B.
borderDistanceToGermany
Indicates the distance between an entity’s border and the border of Germany.
-
C.
borderTypeWithRussia
Indicates the type or nature of a geographic border that an entity shares with Russia.
-
D.
bordersGermanState
Indicates that one entity shares a land or maritime boundary directly with a German federal state.
-
E.
borderTypeWithItaly
Indicates the type or nature of the border that an entity shares with Italy.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69fe2f066ac48190882c327b7e69e53f |
completed | May 8, 2026, 6:44 p.m. |
Created at: April 29, 2026, 6:21 p.m.