Triple
T25546694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajikistan national football team |
E640326
|
entity |
| Predicate | associatedCountryFlag |
P115717
|
FINISHED |
| Object | flag of Tajikistan |
—
|
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 Tajikistan | Statement: [Tajikistan national football team, associatedCountryFlag, flag of Tajikistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryFlag Context triple: [Tajikistan national football team, associatedCountryFlag, flag of Tajikistan]
-
A.
flagshipCountry
Indicates that one country serves as the primary or leading representative location for an organization, initiative, or brand among multiple countries.
-
B.
countryFlagType
Indicates the type or category of national flag associated with a given country.
-
C.
countryOfFlag
chosen
Indicates that a given country is the one represented by a specified flag.
-
D.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
E.
adoptedAsRegionalFlagInCountry
Indicates that a flag has been officially adopted for use as a regional flag within a specific country.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 21, 2026, 3:34 p.m.