Triple
T18288572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schrock carbene |
E438047
|
entity |
| Predicate | hasLigandType |
P120395
|
FINISHED |
| Object | alkylidene ligand |
—
|
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: alkylidene ligand | Statement: [Schrock carbene, hasLigandType, alkylidene ligand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLigandType Context triple: [Schrock carbene, hasLigandType, alkylidene ligand]
-
A.
ligandType
chosen
Indicates the specific kind or category of ligand associated with, or acting upon, an entity in the relationship.
-
B.
hasEndogenousLigand
Indicates that an entity naturally binds or interacts with a ligand that is produced within the same biological system or organism.
-
C.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
-
D.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
E.
ligandFamily
Indicates that one entity is a ligand belonging to the same functional or structural family as another entity.
- 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_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. |
Created at: April 10, 2026, 10:35 a.m.