Triple
T2058797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decennial United States Census |
E45738
|
entity |
| Predicate | firstConducted |
P1161
|
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: [Decennial United States Census, firstConducted, 1790]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConducted Context triple: [Decennial United States Census, firstConducted, 1790]
-
A.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
B.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
C.
firstShotsFiredOn
Indicates that the referenced event or entity marks the initial occurrence of shots being fired on a specified date, time, or occasion.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
firstCelebratedInYear
chosen
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.