Triple
T15294572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بيت حانون |
E365618
|
entity |
| Predicate | hasDisplacementIssue |
P114170
|
FINISHED |
| Object | نزوح داخلي متكرر للسكان |
—
|
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: نزوح داخلي متكرر للسكان | Statement: [بيت حانون, hasDisplacementIssue, نزوح داخلي متكرر للسكان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisplacementIssue Context triple: [بيت حانون, hasDisplacementIssue, نزوح داخلي متكرر للسكان]
-
A.
hasDisplacement
Indicates a relationship where an entity experiences or is assigned a change in position or location from an initial point to a final point.
-
B.
displacementCause
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
C.
hasIssueWith
chosen
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
D.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
E.
hasMaxDisplacement
Indicates the maximum distance or extent to which something can move or be displaced from its original position.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03682ea488190ac82fdbd0e855d34 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.