Triple
T8033390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witch Ground Graben |
E187040
|
entity |
| Predicate | isHydrocarbonProvince |
P41615
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Witch Ground Graben, isHydrocarbonProvince, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHydrocarbonProvince Context triple: [Witch Ground Graben, isHydrocarbonProvince, yes]
-
A.
hydrocarbonPotential
Indicates the degree to which a geological unit or material is capable of generating, containing, or yielding hydrocarbons such as oil or natural gas.
-
B.
geologicalProvinceOf
Indicates that one entity is the geological province to which another entity (such as a region or feature) belongs or is classified.
-
C.
hasGeologicalProvince
chosen
Indicates that a geographic area or location is associated with, or belongs to, a specific geological province characterized by common geological features or history.
-
D.
isGasRich
Indicates that an entity possesses a relatively high abundance or concentration of gas compared to a defined reference or threshold.
-
E.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef3e6848190913c4b1bef506aae |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.