Triple
T28146018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CL 2732 |
E714483
|
entity |
| Predicate | hasSuccessorStereoIssue |
P192280
|
FINISHED |
| Object | Columbia CS 9532 |
—
|
NE NERFINISHED |
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: Columbia CS 9532 | Statement: [Columbia CL 2732, hasSuccessorStereoIssue, Columbia CS 9532]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorStereoIssue Context triple: [Columbia CL 2732, hasSuccessorStereoIssue, Columbia CS 9532]
-
A.
hasStereoselectivity
Indicates that a reaction or process preferentially forms or involves one stereoisomer over others.
-
B.
successorStateIssue
Indicates that an issue or problem arises specifically in the context of a successor state, typically as a consequence of changes in sovereignty, governance, or state continuity.
-
C.
isChiral
Indicates that an entity and its mirror image are not superimposable, reflecting a handedness or asymmetry in its structure.
-
D.
hasChiralityComponents
Indicates that an entity’s chirality is determined by, or composed of, one or more specified chiral components.
-
E.
hasChiralCenters
Indicates that a molecule possesses one or more chiral (stereogenic) centers, leading to possible stereoisomerism.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: April 27, 2026, 9:56 p.m.