Triple
T27246683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noushin Ahmadi Khorasani |
E687363
|
entity |
| Predicate | regionOfActivism |
P19309
|
FINISHED |
| Object | Middle East |
—
|
NE NERFINISHED |
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: Middle East | Statement: [Noushin Ahmadi Khorasani, regionOfActivism, Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfActivism Context triple: [Noushin Ahmadi Khorasani, regionOfActivism, Middle East]
-
A.
placeOfActivism
chosen
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
B.
areaOfActivism
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
C.
politicalActivityRegion
Indicates the geographic region or area in which a political activity takes place or is focused.
-
D.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
-
E.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 10:42 a.m.