Triple
T7181216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libyan Air Force |
E167449
|
entity |
| Predicate | statusAfter2011 |
P75870
|
FINISHED |
| Object | fragmented between rival governments and factions |
—
|
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: fragmented between rival governments and factions | Statement: [Libyan Air Force, statusAfter2011, fragmented between rival governments and factions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2011 Context triple: [Libyan Air Force, statusAfter2011, fragmented between rival governments and factions]
-
A.
statusAfter2010
Indicates the condition or state of an entity specifically in the period after the year 2010.
-
B.
statusAfter2014
Indicates the condition or state of an entity as it exists from the year 2014 onward, typically in contrast to its prior status.
-
C.
statusAfter2020
Indicates the condition or state of an entity as it exists after the year 2020.
-
D.
statusAfter2017
Indicates the status or condition an entity has specifically after the year 2017.
-
E.
statusAfter2018
Indicates the condition or state of something specifically during the period after the year 2018.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.