Triple
T5932625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICH M4 Common Technical Document |
E131971
|
entity |
| Predicate | guidelineNumber |
P66988
|
FINISHED |
| Object | M4 |
—
|
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: M4 | Statement: [ICH M4 Common Technical Document, guidelineNumber, M4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidelineNumber Context triple: [ICH M4 Common Technical Document, guidelineNumber, M4]
-
A.
hasGuidelineCount
Indicates the number of guidelines associated with or applicable to a given entity.
-
B.
guidanceType
Indicates the specific kind or category of guidance being provided or referenced in the relationship between entities.
-
C.
ruleNumber
Indicates that an entity is associated with a specific rule identified by its number within a set of rules.
-
D.
regulationNumber
Indicates the specific identifier or code assigned to a regulation that governs or constrains an entity or activity.
-
E.
providesGuidanceTo
Indicates that one entity offers direction, advice, or instruction to another entity.
- 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.