Triple
T14946426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanport |
E372673
|
entity |
| Predicate | numberOfDisplacedResidents |
P1943
|
FINISHED |
| Object | approximately 18,000 |
—
|
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: approximately 18,000 | Statement: [Vanport, numberOfDisplacedResidents, approximately 18,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDisplacedResidents Context triple: [Vanport, numberOfDisplacedResidents, approximately 18,000]
-
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.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
D.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
E.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.