Triple
T32211692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FEI World Equestrian Games |
E822824
|
entity |
| Predicate | hostCountryFlag |
P115717
|
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: [2006 FEI World Equestrian Games, hostCountryFlag, flag of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryFlag Context triple: [2006 FEI World Equestrian Games, hostCountryFlag, flag of Germany]
-
A.
hostCountryFlagBearer
Indicates that the referenced athlete or participant serves as the flag bearer for the host country, typically during an official ceremony such as an opening or closing event.
-
B.
countryFlagType
Indicates the type or category of national flag associated with a given country.
-
C.
flagshipCountry
Indicates that one country serves as the primary or leading representative location for an organization, initiative, or brand among multiple countries.
-
D.
hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
-
E.
countryOfFlag
chosen
Indicates that a given country is the one represented by a specified flag.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:37 a.m.