Triple
T30449119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya–United States relations |
E774660
|
entity |
| Predicate | USMilitaryBaseClosed |
P126626
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Libya–United States relations, USMilitaryBaseClosed, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USMilitaryBaseClosed Context triple: [Libya–United States relations, USMilitaryBaseClosed, 1970]
-
A.
formerMilitaryBase
chosen
Indicates that a location was previously used as a military base but no longer serves that function.
-
B.
militaryBaseStatus
Indicates the operational condition or readiness state of a military base at a given time.
-
C.
wasMilitaryBaseDuring
Indicates that a location functioned as a military base during a specified time period or event.
-
D.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
-
E.
militaryBaseVenue
Indicates that an event or activity takes place at, or is hosted by, a military base as its venue.
- 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.