Triple
T5932608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICH M4 Common Technical Document |
E131971
|
entity |
| Predicate | module5Content |
P66987
|
FINISHED |
| Object | clinical study reports |
—
|
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: clinical study reports | Statement: [ICH M4 Common Technical Document, module5Content, clinical study reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: module5Content Context triple: [ICH M4 Common Technical Document, module5Content, clinical study reports]
-
A.
section5Description
Indicates a descriptive text or explanation specifically associated with section 5 of a document or structured content.
-
B.
section3ContentSummary
Indicates a summarized representation of the main points or key information contained in the third section of a document or structure.
-
C.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
D.
coreModule
Indicates that something functions as a primary or foundational module within a larger system or structure.
-
E.
section8Description
Indicates a textual description or explanation related to Section 8, typically detailing its terms, conditions, or relevant information.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03f23dd20819089dbf0de0d913602 |
completed | March 22, 2026, 7:12 p.m. |
Created at: March 22, 2026, 4 p.m.