Triple
T564122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section V |
E13516
|
entity |
| Predicate | providesMethodsFor |
P16244
|
FINISHED |
| Object | radiographic examination |
—
|
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: radiographic examination | Statement: [Section V, providesMethodsFor, radiographic examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesMethodsFor Context triple: [Section V, providesMethodsFor, radiographic examination]
-
A.
providesProperty
Indicates that one entity supplies, grants, or makes a particular property or attribute available to another entity.
-
B.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
C.
callsFor
Indicates that one entity requires, demands, or requests the occurrence of another action, condition, or entity.
-
D.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
-
E.
commonlyImplementedBy
Indicates that the referenced item (e.g., a standard, interface, or pattern) is frequently realized or put into practice by the associated implementing entities.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498ff0c0081908947376a38b10d72 |
completed | March 1, 2026, 7:52 p.m. |
Created at: March 1, 2026, 7:32 p.m.