Triple
T34433812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claus process |
E883896
|
entity |
| Predicate | commerciallyImportantSince |
P33460
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Claus process, commerciallyImportantSince, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commerciallyImportantSince Context triple: [Claus process, commerciallyImportantSince, early 20th century]
-
A.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
B.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
C.
isMajorCommercialCultivar
Indicates that an entity is a widely grown and economically important cultivated variety used in commercial production.
-
D.
notableCommercial
Indicates that an entity is particularly well-known or significant in a commercial context, such as advertising, marketing, or business promotion.
-
E.
hasIndustrialSignificance
chosen
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 1, 2026, 2 a.m.