Triple
T37461615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkshire Councilman |
E930930
|
entity |
| Predicate | isStandardLegalAsOf2024 |
P188340
|
FINISHED |
| Object | False |
—
|
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: False | Statement: [Darkshire Councilman, isStandardLegalAsOf2024, False]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStandardLegalAsOf2024 Context triple: [Darkshire Councilman, isStandardLegalAsOf2024, False]
-
A.
isStandardLegal
Indicates that something complies with and is permitted under the relevant formal rules, regulations, or standards.
-
B.
legalStandardType
Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
-
C.
formatLegality
chosen
Indicates whether a particular item, action, or configuration complies with or violates a specified set of rules, standards, or laws.
-
D.
legalStandardOftenIncludes
Indicates that a particular legal standard commonly or typically encompasses or contains another specified element, criterion, or requirement.
-
E.
legalStandardCreated
Indicates that one entity (such as a case, statute, or regulation) establishes or formulates a legal standard that is then applied or referenced by another entity.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.