Triple
T11444403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harsud |
E271226
|
entity |
| Predicate | populationDisplaced |
P1943
|
FINISHED |
| Object | thousands of residents |
—
|
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: thousands of residents | Statement: [Harsud, populationDisplaced, thousands of residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationDisplaced Context triple: [Harsud, populationDisplaced, thousands of residents]
-
A.
displacedPeopleEstimate
chosen
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
-
B.
civilianDisplacement
Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
-
C.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
D.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
E.
hasRefugeeMovements
Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.