Triple
T17415990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census data |
E423490
|
entity |
| Predicate | firstDecennialCensusYear |
P292
|
FINISHED |
| Object | 1790 |
—
|
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: 1790 | Statement: [United States Census data, firstDecennialCensusYear, 1790]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDecennialCensusYear Context triple: [United States Census data, firstDecennialCensusYear, 1790]
-
A.
firstRecordedSurveyYear
Indicates the calendar year in which the survey was first conducted or recorded for the entity.
-
B.
basedOnCensusYear
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
C.
populationCensusYear
chosen
Indicates the specific year in which an official population census was conducted or recorded for an entity.
-
D.
firstElectionYear
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
-
E.
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.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44232ecdc8190ac8958c1780fea19 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.