Triple
T9419703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unconsolidated Laws of New York |
E227120
|
entity |
| Predicate | isNotOrganizedAs |
P88760
|
FINISHED |
| Object | formal consolidated statutory code |
—
|
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: formal consolidated statutory code | Statement: [Unconsolidated Laws of New York, isNotOrganizedAs, formal consolidated statutory code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotOrganizedAs Context triple: [Unconsolidated Laws of New York, isNotOrganizedAs, formal consolidated statutory code]
-
A.
isUnorganized
Indicates that the subject lacks orderly structure, arrangement, or systematic organization in its components or behavior.
-
B.
notOrganizedBy
Indicates that an event, activity, or entity is explicitly not arranged, coordinated, or managed by a specified agent or organization.
-
C.
hasUnorganizedArea
Indicates that an entity possesses or includes an area that lacks formal organization, structure, or systematic arrangement.
-
D.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
E.
organizedAt
Indicates that an event or activity was arranged, planned, or hosted at a specific location or venue.
- F. None of above. chosen
Provenance (4 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c23c65081908d1009c26be66533 |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:48 p.m.