Triple
T3392585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article I – General Provisions |
E71453
|
entity |
| Predicate | remainderOfOrRelatedWritingsOrRecordedStatementsAddressedIn |
P49375
|
FINISHED |
| Object | Rule 106 |
—
|
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: Rule 106 | Statement: [Article I – General Provisions, remainderOfOrRelatedWritingsOrRecordedStatementsAddressedIn, Rule 106]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainderOfOrRelatedWritingsOrRecordedStatementsAddressedIn Context triple: [Article I – General Provisions, remainderOfOrRelatedWritingsOrRecordedStatementsAddressedIn, Rule 106]
-
A.
areWrittenOn
Indicates that one entity serves as a surface or medium on which another entity is inscribed, recorded, or written.
-
B.
writtenInSameManuscriptAs
Indicates that two written works or textual items appear together within the same physical or digital manuscript.
-
C.
notableWorkWrittenThere
Indicates that a notable work was written at or in the specified place.
-
D.
laterWrittenDownAs
Indicates that something was recorded or documented in written form at a subsequent time after its original occurrence or expression.
-
E.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb851e57c8190983cadcedc58db50 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb2e426b88190b82d9830149b142e |
completed | March 8, 2026, 5:33 p.m. |
Created at: March 8, 2026, 3:14 p.m.