Triple
T37642202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCSD |
E936643
|
entity |
| Predicate | typeOfLawImplemented |
P6527
|
FINISHED |
| Object | environmental law |
—
|
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: environmental law | Statement: [PCSD, typeOfLawImplemented, environmental law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLawImplemented Context triple: [PCSD, typeOfLawImplemented, environmental law]
-
A.
typeOfLaw
chosen
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
B.
containsLawType
Indicates that one entity includes or is associated with a specific type or category of law.
-
C.
legalSystemImposed
Indicates that one authority or group has established and enforced a particular legal system upon another population or territory.
-
D.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
-
E.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.