Triple
T7460677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Documents and Administrative Issuances |
E176238
|
entity |
| Predicate | typeOfDocumentsHandled |
P27701
|
FINISHED |
| Object | legal documents |
—
|
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: legal documents | Statement: [Office of Documents and Administrative Issuances, typeOfDocumentsHandled, legal documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDocumentsHandled Context triple: [Office of Documents and Administrative Issuances, typeOfDocumentsHandled, legal documents]
-
A.
typeOfCasesHandled
Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
-
B.
legalTextTypeWorkedOn
chosen
Indicates that an entity has worked on or handled a specific type or category of legal text.
-
C.
typeOfJurisdictionDocument
Indicates the specific kind or category of jurisdiction-related document associated with an entity or legal context.
-
D.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
E.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
- F. None of above.
Provenance (3 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d525708190b7838e07ac2fbe1f |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:38 p.m.