Triple
T27368732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Louise Bridge |
E690247
|
entity |
| Predicate | formerCountryBorderBetween |
P143038
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Queen Louise Bridge, formerCountryBorderBetween, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCountryBorderBetween Context triple: [Queen Louise Bridge, formerCountryBorderBetween, Germany]
-
A.
countryBorderRelation
Indicates that two countries share a common land or maritime boundary with each other.
-
B.
formedPartOfFormerBorderWith
chosen
Indicates that an entity previously constituted a segment of a border that no longer exists in its former political or territorial form.
-
C.
countryBorderFunction
Indicates that one country shares a land or maritime boundary with another country.
-
D.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
E.
geographicallyBorders
Indicates that two geographic entities share a common boundary or border.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 27, 2026, 12:18 p.m.