Triple
T29711576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Resistance Army |
E751795
|
entity |
| Predicate | statusAfter1986 |
P194014
|
FINISHED |
| Object | national army of Uganda |
—
|
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: national army of Uganda | Statement: [National Resistance Army, statusAfter1986, national army of Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1986 Context triple: [National Resistance Army, statusAfter1986, national army of Uganda]
-
A.
statusAfter1980
Indicates the condition or state of an entity as it exists at some point after the year 1980.
-
B.
statusAfter1987
Indicates the condition or state of something as it existed at some point after the year 1987.
-
C.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
-
D.
statusAfter1966
Indicates the status or condition of an entity as it existed at some point after the year 1966.
-
E.
statusAfter1979
Indicates the status or condition of an entity specifically in the period following the year 1979.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 28, 2026, 7:31 p.m.