Triple
T36978141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarterly Census of Employment and Wages |
E914751
|
entity |
| Predicate | industryClassificationSystem |
P175012
|
FINISHED |
| Object | North American Industry Classification System |
—
|
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: North American Industry Classification System | Statement: [Quarterly Census of Employment and Wages, industryClassificationSystem, North American Industry Classification System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryClassificationSystem Context triple: [Quarterly Census of Employment and Wages, industryClassificationSystem, North American Industry Classification System]
-
A.
sectoralClassification
chosen
Indicates how an entity is categorized into a specific economic or industry sector within a classification scheme.
-
B.
economicClassification
Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
-
C.
marketClassification
Indicates how an entity is categorized or segmented within a particular market or market structure.
-
D.
SICCode
Indicates the standardized industrial classification code that categorizes the primary type of economic activity associated with an entity or relationship.
-
E.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.