Triple
T2144458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tripoli (2019–2020) |
E47031
|
entity |
| Predicate | displaced |
P16529
|
FINISHED |
| Object | hundreds of thousands of civilians |
—
|
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: hundreds of thousands of civilians | Statement: [Battle of Tripoli (2019–2020), displaced, hundreds of thousands of civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displaced Context triple: [Battle of Tripoli (2019–2020), displaced, hundreds of thousands of civilians]
-
A.
displacedBy
chosen
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
B.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
C.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
D.
displacementVariant
Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
-
E.
plannedDisplacement
Indicates a deliberate, pre-arranged movement or relocation of an entity from one place or state to another.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.