Triple
T15239598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maastricht Formation |
E364218
|
entity |
| Predicate | carbonateContent |
P117699
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Maastricht Formation, carbonateContent, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbonateContent Context triple: [Maastricht Formation, carbonateContent, high]
-
A.
carbonation
Indicates that a substance, typically a beverage, has been infused with carbon dioxide gas, resulting in bubbles or fizziness.
-
B.
hydrogenContent
Indicates the amount or proportion of hydrogen present in a given substance, material, or system.
-
C.
carbonationDescription
Indicates the description of the level, style, or characteristics of carbonation present in a beverage.
-
D.
carbonationSource
Indicates the source or method by which something becomes carbonated (i.e., how carbon dioxide is introduced).
-
E.
carbonDioxideLevel
Indicates the measured concentration or amount of carbon dioxide present in a given environment or system.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.