Triple
T35612909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Constitutional Convention of 1915 |
E1029085
|
entity |
| Predicate | legalStatusOfProduct |
P200629
|
FINISHED |
| Object | non‑adopted constitutional draft |
—
|
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: non‑adopted constitutional draft | Statement: [New York State Constitutional Convention of 1915, legalStatusOfProduct, non‑adopted constitutional draft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfProduct Context triple: [New York State Constitutional Convention of 1915, legalStatusOfProduct, non‑adopted constitutional draft]
-
A.
legalStatusOfItems
Indicates the legal classification or regulatory standing that applies to specified items.
-
B.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
-
C.
legalStatusInMostCountries
Indicates the typical legal classification or treatment of something across the majority of countries.
-
D.
legalizedIn
Indicates that an action, substance, or practice is permitted by law within a specified jurisdiction or region.
-
E.
legalStatusVariesBy
Indicates that the legal status of something differs depending on a specified jurisdiction, context, or set of conditions.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9bed58dc8190a204816d4ed6c32c |
completed | May 9, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69ff9b69653c81908ab0d88055a66a88 |
completed | May 9, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69ff9bec9d748190869caebf6bf0c78f |
completed | May 9, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:05 p.m.