Triple
T4024083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 United States census |
E91348
|
entity |
| Predicate | percentageIncreaseSincePreviousCensus |
P53509
|
FINISHED |
| Object | 18.5% |
—
|
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: 18.5% | Statement: [1960 United States census, percentageIncreaseSincePreviousCensus, 18.5%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageIncreaseSincePreviousCensus Context triple: [1960 United States census, percentageIncreaseSincePreviousCensus, 18.5%]
-
A.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
B.
frequencyOfCensus
Indicates how often a census is conducted or occurs within a given context or jurisdiction.
-
C.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
D.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
E.
approximatePopulationTrend
Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeface7a788190a0e4e549a6816f91 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:35 p.m.