Triple
T29314190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammett sigma constants |
E743332
|
entity |
| Predicate | referenceReaction |
P82471
|
FINISHED |
| Object | ionization of substituted benzoic acids |
—
|
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: ionization of substituted benzoic acids | Statement: [Hammett sigma constants, referenceReaction, ionization of substituted benzoic acids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceReaction Context triple: [Hammett sigma constants, referenceReaction, ionization of substituted benzoic acids]
-
A.
relatedReaction
chosen
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
B.
containsReaction
Indicates that one entity includes or encompasses a specific reaction as part of its contents or structure.
-
C.
reactionType
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
-
D.
usedReaction
Indicates that an entity employed or applied a particular reaction (e.g., chemical, biological, or procedural) as part of an action or process.
-
E.
netReaction
Indicates the overall chemical transformation resulting from combining all individual reaction steps, showing only the net change between reactants and products.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.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: April 28, 2026, 1:18 p.m.