Triple
T7310136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Republic |
E168068
|
entity |
| Predicate | mayProvideMechanismFor |
P8166
|
FINISHED |
| Object | clerical review of laws |
—
|
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: clerical review of laws | Statement: [Islamic Republic, mayProvideMechanismFor, clerical review of laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayProvideMechanismFor Context triple: [Islamic Republic, mayProvideMechanismFor, clerical review of laws]
-
A.
hasMechanism
chosen
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
B.
definesMechanism
Indicates that one entity specifies or explains the underlying process or mechanism by which another entity operates or occurs.
-
C.
mentionsMechanism
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
D.
backedByMechanism
Indicates that something is supported, enabled, or made possible by an underlying mechanism or system.
-
E.
mayAlsoBeProvidedAs
Indicates that something can optionally be supplied or made available in an alternative form or manner in addition to its primary provision.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebdbd6f481908e69e53dab452656 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.