Triple
T7278230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children's Health Insurance Program Reauthorization Act of 2009 |
E163082
|
entity |
| Predicate | increasedTaxOn |
P39307
|
FINISHED |
| Object | cigarettes |
—
|
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: cigarettes | Statement: [Children's Health Insurance Program Reauthorization Act of 2009, increasedTaxOn, cigarettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasedTaxOn Context triple: [Children's Health Insurance Program Reauthorization Act of 2009, increasedTaxOn, cigarettes]
-
A.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
B.
introducedTaxType
Indicates that an entity (such as a government or authority) has brought a particular type of tax into existence or put it into effect.
-
C.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
-
D.
effectOnTaxes
chosen
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
E.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.