Triple
T1341670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway Beautification Act of 1965 |
E28476
|
entity |
| Predicate | sectionCodified |
P775
|
FINISHED |
| Object | 23 U.S.C. § 131 |
—
|
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: 23 U.S.C. § 131 | Statement: [Highway Beautification Act of 1965, sectionCodified, 23 U.S.C. § 131]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionCodified Context triple: [Highway Beautification Act of 1965, sectionCodified, 23 U.S.C. § 131]
-
A.
codifiedIn
chosen
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
B.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
C.
notableLegalCode
Indicates that a legal code is especially significant, influential, or noteworthy in relation to the referenced entity.
-
D.
sectionAddressed
Indicates that a specific section or part of a document, text, or resource is being referred to, targeted, or dealt with by an action or statement.
-
E.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
- 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.