Triple
T30449139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya–United States relations |
E774660
|
entity |
| Predicate | operationTarget |
P860
|
FINISHED |
| Object | Tripoli |
—
|
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: Tripoli | Statement: [Libya–United States relations, operationTarget, Tripoli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationTarget Context triple: [Libya–United States relations, operationTarget, Tripoli]
-
A.
firstOperationalTarget
Indicates that an entity is designated as the initial or primary target to be acted upon or engaged in an operation.
-
B.
implementationTarget
Indicates that one entity serves as the concrete implementation or realization of another entity’s specification, interface, or design.
-
C.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
D.
acquisitionTarget
Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
-
E.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: April 29, 2026, 8:09 p.m.