Triple
T6313413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmerson Mnangagwa |
E141557
|
entity |
| Predicate | returnedToZimbabweAfter |
P69995
|
FINISHED |
| Object | military intervention of November 2017 |
—
|
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: military intervention of November 2017 | Statement: [Emmerson Mnangagwa, returnedToZimbabweAfter, military intervention of November 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToZimbabweAfter Context triple: [Emmerson Mnangagwa, returnedToZimbabweAfter, military intervention of November 2017]
-
A.
returnedFrom
Indicates that an entity has come back or been sent back from a specified source, location, or prior state.
-
B.
returnedToEngland
Indicates that an entity went back to England after having been away.
-
C.
returnedToFamilyHomeBy
Indicates that an entity has been brought or taken back to their family home by another specified entity.
-
D.
returnedVia
Indicates that something was sent back or responded to through a specified medium, channel, or method.
-
E.
deportedFrom
Indicates that an authority has expelled an entity from a particular place or country, forcing their departure from that location.
- F. None of above. chosen
Provenance (4 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:28 p.m.