Triple
T18288607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schrock carbene |
E438047
|
entity |
| Predicate | hasBondingDescription |
P11875
|
FINISHED |
| Object | σ donation from carbanion‑like carbon to metal |
—
|
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: σ donation from carbanion‑like carbon to metal | Statement: [Schrock carbene, hasBondingDescription, σ donation from carbanion‑like carbon to metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBondingDescription Context triple: [Schrock carbene, hasBondingDescription, σ donation from carbanion‑like carbon to metal]
-
A.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
-
B.
bondedWith
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
C.
hasBondGirl
Indicates that a person, typically a James Bond character, is associated with a romantic or significant female partner known as a "Bond girl."
-
D.
hasDescription
chosen
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
E.
bondedWithSpecies
Indicates a relationship where an entity has formed a close, enduring bond or attachment with a particular species.
- 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.