Triple
T5714631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1900 Galveston hurricane |
E125991
|
entity |
| Predicate | impactOnPopulation |
P3838
|
FINISHED |
| Object | large-scale displacement of Galveston 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: large-scale displacement of Galveston residents | Statement: [1900 Galveston hurricane, impactOnPopulation, large-scale displacement of Galveston residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnPopulation Context triple: [1900 Galveston hurricane, impactOnPopulation, large-scale displacement of Galveston residents]
-
A.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
B.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
C.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
D.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
E.
population
Indicates the total number of individuals living in or present within a specified area or group.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.