Triple
T1765813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General |
E38759
|
entity |
| Predicate | insigniaVariesBy |
P11288
|
FINISHED |
| Object | country |
—
|
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: country | Statement: [General, insigniaVariesBy, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaVariesBy Context triple: [General, insigniaVariesBy, country]
-
A.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
B.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
C.
usageVariesBy
chosen
Indicates that the way something is used differs depending on a specified factor, such as context, user, location, or conditions.
-
D.
lengthVariesBy
Indicates that the length of one entity changes or differs depending on another specified factor or condition.
-
E.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.