Triple
T34433788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claus process |
E883896
|
entity |
| Predicate | numberOfCatalyticStages |
P7615
|
FINISHED |
| Object | 2–3 |
—
|
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: 2–3 | Statement: [Claus process, numberOfCatalyticStages, 2–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCatalyticStages Context triple: [Claus process, numberOfCatalyticStages, 2–3]
-
A.
numberOfStages
chosen
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
B.
numberOfEnginesPerStage
Indicates the quantity of engines associated with each individual stage in a multi-stage system or structure.
-
C.
numberPerStage
Indicates the quantity or count associated with each distinct stage in a multi-stage process or sequence.
-
D.
turbineStages
Indicates the number or configuration of sequential stages within a turbine through which working fluid passes to extract energy.
-
E.
catalystGeneration
Indicates that one entity initiates, produces, or brings about a catalyst that enables or accelerates a process or reaction involving 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.