Triple
T25209916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bron/Broen |
E631654
|
entity |
| Predicate | originalChannelSweden |
P175189
|
FINISHED |
| Object | SVT1 |
—
|
NE NERFINISHED |
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: SVT1 | Statement: [Bron/Broen, originalChannelSweden, SVT1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChannelSweden Context triple: [Bron/Broen, originalChannelSweden, SVT1]
-
A.
SwedishObjective
Indicates that an entity serves as the object or target of an action or relation specifically within a Swedish linguistic, cultural, or contextual framework.
-
B.
nameInSwedish
Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
-
C.
capturedStandardsBySwedes
Indicates that one party seized or took possession of military standards or flags from Swedish forces.
-
D.
ethnicNameInSwedish
Indicates that a particular ethnic group is referred to by a specific name in the Swedish language.
-
E.
outcomeForSweden
Indicates the resulting effect, consequence, or result that a situation, event, or action has specifically in relation to Sweden.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 21, 2026, 12:58 p.m.