Triple
T231210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section 4 of Article II |
E4413
|
entity |
| Predicate | listsGrounds |
P9529
|
FINISHED |
| Object | treason |
—
|
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: treason | Statement: [Section 4 of Article II, listsGrounds, treason]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsGrounds Context triple: [Section 4 of Article II, listsGrounds, treason]
-
A.
hasGrounds
Indicates that one entity possesses or includes a physical area of land or outdoor space associated with it.
-
B.
ground
Indicates that one entity is in contact with or supported by the ground or a ground-like surface.
-
C.
listType
Indicates that one entity specifies the classification or category type of a list associated with another entity.
-
D.
foundationPlace
Indicates the place where an organization, institution, or similar entity was originally founded or established.
-
E.
listedBuildingCategory
Indicates the heritage protection grade or category assigned to a building that is officially recognized as a listed structure.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25e06dd7c8190a8cbb76cee3c6e4b |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.