Triple
T26488253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkinson's catalyst |
E664885
|
entity |
| Predicate | hasCentralMetal |
P168573
|
FINISHED |
| Object | Rh(I) |
—
|
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: Rh(I) | Statement: [Wilkinson's catalyst, hasCentralMetal, Rh(I)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralMetal Context triple: [Wilkinson's catalyst, hasCentralMetal, Rh(I)]
-
A.
hasFormalOxidationStateOfMetal
Indicates that a metal entity is assigned a specific formal oxidation state in a chemical context.
-
B.
hasCation
Indicates that something contains, is associated with, or involves a positively charged ion (cation) in its composition or structure.
-
C.
usesMetalCounterion
Indicates that an entity employs a metal ion as a counterion in a chemical or biochemical context.
-
D.
hasCentralLandmark
Indicates that a place or area contains a primary or defining landmark located at or near its center.
-
E.
hasCentralStoneType
Indicates that an item, typically a piece of jewelry, features a central stone of a specified type.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 12:32 a.m.