Triple
T30449121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya–United States relations |
E774660
|
entity |
| Predicate | deterioratedAfter |
P19208
|
FINISHED |
| Object | 1969 Libyan coup d’état |
—
|
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: 1969 Libyan coup d’état | Statement: [Libya–United States relations, deterioratedAfter, 1969 Libyan coup d’état]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deterioratedAfter Context triple: [Libya–United States relations, deterioratedAfter, 1969 Libyan coup d’état]
-
A.
wasDeterioratedBeforeReconstruction
Indicates that something was in a deteriorated or degraded condition prior to undergoing reconstruction.
-
B.
reasonForFurtherDeterioration
Indicates that one condition, event, or factor is identified as the cause of additional worsening or decline in another condition or situation.
-
C.
eroded
Indicates that a force or process has gradually worn away, diminished, or degraded something over time.
-
D.
declineAfter
chosen
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
-
E.
hasWeathering
Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c1b7988190a0750c687c5d0dd1 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:09 p.m.