Triple
T21115444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Democratic Front of Iran |
E520283
|
entity |
| Predicate | legalStatusAfterSuppression |
P121935
|
FINISHED |
| Object | banned |
—
|
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: banned | Statement: [National Democratic Front of Iran, legalStatusAfterSuppression, banned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfterSuppression Context triple: [National Democratic Front of Iran, legalStatusAfterSuppression, banned]
-
A.
legalStatusAfterEndTime
Indicates the legal status or condition that applies to an entity after a specified end time has passed.
-
B.
legalStatusBefore
Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
-
C.
legalStatusBeforeRelease
Indicates the legal condition or classification an entity was subject to prior to its release.
-
D.
legalStatusAfterEvent
chosen
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
-
E.
legalStatusAtApproval
Indicates the legal status or classification an entity held at the time it was formally approved.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72105bd648190beecc636284397bd |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:54 p.m.