Triple
T3721066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German embassies |
E81637
|
entity |
| Predicate | displaysFlag |
P6935
|
FINISHED |
| Object | flag of Germany |
—
|
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: flag of Germany | Statement: [German embassies, displaysFlag, flag of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displaysFlag Context triple: [German embassies, displaysFlag, flag of Germany]
-
A.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
B.
useNationalFlag
Indicates that an entity employs or displays the national flag in a particular context or for a specific purpose.
-
C.
flagFlown
chosen
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
D.
subnationalFlagOf
Indicates that one flag represents or is officially used by a subnational entity (such as a state, province, or region) within a larger sovereign country.
-
E.
flagFamily
Indicates that one flag is part of, or associated with, a broader family or group of related flags.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.