Triple
T1946091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chadian–Libyan conflict |
E42056
|
entity |
| Predicate | chronologyNote |
P34213
|
FINISHED |
| Object | peaked in intensity in the early to mid-1980s |
—
|
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: peaked in intensity in the early to mid-1980s | Statement: [Chadian–Libyan conflict, chronologyNote, peaked in intensity in the early to mid-1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyNote Context triple: [Chadian–Libyan conflict, chronologyNote, peaked in intensity in the early to mid-1980s]
-
A.
chronologyPrevious
Indicates that one event, item, or state occurs directly before another in a chronological sequence.
-
B.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
chronologicallyClassifiedAs
Indicates that something is assigned to or placed within a specific time period or chronological category.
-
E.
chronologyNextTitle
Indicates that one item is immediately followed by another item as the next title in a chronological sequence.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:36 p.m.