Triple
T34091107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | valproate |
E874304
|
entity |
| Predicate | hasActiveForm |
P133039
|
FINISHED |
| Object | valproic acid |
—
|
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: valproic acid | Statement: [valproate, hasActiveForm, valproic acid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActiveForm Context triple: [valproate, hasActiveForm, valproic acid]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
hasMainForm
chosen
Indicates that one entity is the primary or canonical form of another related entity.
-
C.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
D.
hasSetForm
Indicates that something possesses or is associated with a specific, defined form or configuration as part of a set.
-
E.
hasFlowForm
Indicates that one entity possesses or is associated with a particular configuration, pattern, or form of flow (such as fluid, data, or traffic movement).
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 1:52 a.m.