Triple
T36338109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Umma Party |
E894841
|
entity |
| Predicate | linkedMovement |
P2459
|
FINISHED |
| Object | Mahdism |
—
|
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: Mahdism | Statement: [National Umma Party, linkedMovement, Mahdism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedMovement Context triple: [National Umma Party, linkedMovement, Mahdism]
-
A.
associatedWithMovement
chosen
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
B.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
-
C.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
-
D.
linkedRight
Indicates that one entity is directly connected or positioned to the right of another entity in a sequence or structure.
-
E.
linkedModel
Indicates that one model is associated or connected to another model, typically to reference or reuse its structure or behavior.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:09 p.m.