Triple
T18288609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schrock carbene |
E438047
|
entity |
| Predicate | typicalCarbeneSubstituents |
P131200
|
FINISHED |
| Object | alkyl groups |
—
|
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: alkyl groups | Statement: [Schrock carbene, typicalCarbeneSubstituents, alkyl groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarbeneSubstituents Context triple: [Schrock carbene, typicalCarbeneSubstituents, alkyl groups]
-
A.
nucleophileType
Indicates the classification of a species based on the type or character of its nucleophilic behavior in a chemical reaction.
-
B.
chemicalSeries
Indicates that one chemical entity belongs to, or is part of, a defined series of related chemical compounds.
-
C.
numberOfSubstitutes
Indicates the quantity of substitute entities associated with or allowed for a given entity or situation.
-
D.
involvesSubstitute
Indicates that one entity participates in a situation, event, or role as a replacement or stand-in for another entity.
-
E.
hasTypicalCarbonContentRange
Indicates the usual lower and upper bounds of carbon content typically found in or associated with an 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fc49b88190bd5b562e0a959e9d |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.