Triple
T26733481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States military veterans |
E674037
|
entity |
| Predicate | statisticalDataSource |
P141050
|
FINISHED |
| Object | United States Census Bureau |
—
|
NE NERFINISHED |
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: United States Census Bureau | Statement: [United States military veterans, statisticalDataSource, United States Census Bureau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalDataSource Context triple: [United States military veterans, statisticalDataSource, United States Census Bureau]
-
A.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
B.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
C.
statisticalScope
Indicates the statistical context or coverage within which a given measurement, observation, or statement is defined or valid.
-
D.
hasSourceOfData
chosen
Indicates that one entity serves as the origin or provider of the data used or referenced by another entity.
-
E.
statisticalPurpose
Indicates that something is used for collecting, analyzing, or presenting data for statistical analysis or reporting purposes.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:46 a.m.