Triple
T24600257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1870 United States census |
E608802
|
entity |
| Predicate | populationComparedTo1860 |
P156704
|
FINISHED |
| Object | increase |
—
|
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: increase | Statement: [1870 United States census, populationComparedTo1860, increase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationComparedTo1860 Context triple: [1870 United States census, populationComparedTo1860, increase]
-
A.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
B.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
C.
percentageIncreaseSincePreviousCensus
Indicates the proportional rise in a measured quantity, expressed as a percentage, compared to its value in the immediately preceding census.
-
D.
historicalPopulationContext
Indicates the relationship between a population figure and the specific historical period or circumstances in which that population size occurred.
-
E.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
- F. None of above. chosen
Provenance (4 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:30 a.m.