Triple
T1341655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway Beautification Act of 1965 |
E28476
|
entity |
| Predicate | penaltyForNoncompliance |
P1841
|
FINISHED |
| Object | reduction of federal highway funds |
—
|
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: reduction of federal highway funds | Statement: [Highway Beautification Act of 1965, penaltyForNoncompliance, reduction of federal highway funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyForNoncompliance Context triple: [Highway Beautification Act of 1965, penaltyForNoncompliance, reduction of federal highway funds]
-
A.
penaltyProvision
chosen
Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
-
B.
riskIfNoncompliance
Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
-
C.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
D.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
E.
penaltyForRefusalOfOath
Indicates that a penalty is imposed on an entity for refusing to take a required oath.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c215fc008190b01fd8150b9f3b2a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.