Triple
T3011629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigouvian taxes |
E82233
|
entity |
| Predicate | effectOnMarket |
P41849
|
FINISHED |
| Object | raises private marginal cost curve |
—
|
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: raises private marginal cost curve | Statement: [Pigouvian taxes, effectOnMarket, raises private marginal cost curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnMarket Context triple: [Pigouvian taxes, effectOnMarket, raises private marginal cost curve]
-
A.
impactOnMarket
chosen
Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
-
B.
effectOnInstitution
Indicates the impact or influence that one entity, event, or action has on an institution’s state, functioning, or outcomes.
-
C.
relatedMarket
Indicates that two markets are connected or associated, such that activity, conditions, or changes in one market are relevant to or influence the other.
-
D.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
E.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4e2c8c8190a8fed3604780826b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.