Triple
T2813613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian Letters |
E54230
|
entity |
| Predicate | critiquesInstitution |
P31334
|
FINISHED |
| Object | French monarchy |
—
|
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: French monarchy | Statement: [Persian Letters, critiquesInstitution, French monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: critiquesInstitution Context triple: [Persian Letters, critiquesInstitution, French monarchy]
-
A.
aimsToCritique
chosen
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
B.
institutes
Indicates that an entity establishes, initiates, or formally sets up another entity, process, or system.
-
C.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
D.
institutionalControl
Indicates that one institution has governing, regulatory, or managerial authority over another entity or activity.
-
E.
criticizesSource
Indicates that one entity expresses disapproval of, or negative judgment about, the content, behavior, or credibility of another entity that is treated as a source.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ba34c819085a336498fc326b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.