Triple
T5064008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Austria |
E114097
|
entity |
| Predicate | shareBroadcastSpace |
P5696
|
FINISHED |
| Object | German-language television channels |
—
|
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: German-language television channels | Statement: [Germany and Austria, shareBroadcastSpace, German-language television channels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareBroadcastSpace Context triple: [Germany and Austria, shareBroadcastSpace, German-language television channels]
-
A.
sharesAreaWith
Indicates that two entities occupy or overlap the same geographic or spatial area.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
sharesArenaWith
Indicates that two entities use or occupy the same arena as a common venue or location.
-
D.
sharesRouteWith
Indicates that two entities follow or operate along the same or overlapping route.
-
E.
sharesFeatureWith
chosen
Indicates that two entities have at least one common attribute, property, or characteristic in common.
- F. None of above.
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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.