Triple
T20677009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Taipei flag (modified form) |
E508184
|
entity |
| Predicate | replacesFlag |
P113059
|
FINISHED |
| Object | flag of the Republic of China |
—
|
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 the Republic of China | Statement: [Chinese Taipei flag (modified form), replacesFlag, flag of the Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesFlag Context triple: [Chinese Taipei flag (modified form), replacesFlag, flag of the Republic of China]
-
A.
reflaggedAs
chosen
Indicates that an entity has been assigned a new flag, status, or label, replacing or superseding its previous one.
-
B.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
C.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
-
D.
formerFlag
Indicates that an entity previously served as a flag of another entity but no longer holds that status.
-
E.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea24f288190928f828e5f567257 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.