Triple
T14312375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rule 902 |
E354864
|
entity |
| Predicate | listsCategory |
P113730
|
FINISHED |
| Object | domestic public documents under seal |
—
|
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: domestic public documents under seal | Statement: [Rule 902, listsCategory, domestic public documents under seal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsCategory Context triple: [Rule 902, listsCategory, domestic public documents under seal]
-
A.
listsName
Indicates that an entity presents or enumerates the name of another entity, typically as part of a list or catalog.
-
B.
listsAmong
Indicates that one entity includes or enumerates another entity as part of a list or collection.
-
C.
listsMeans
Indicates that one entity enumerates or specifies the meaning, definition, or interpretation of another entity.
-
D.
listsEntities
Indicates that one entity enumerates or provides a list of other entities.
-
E.
listsGiant
Indicates that one entity enumerates or catalogs another entity that is characterized as a giant.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:12 a.m.