Triple
T7364306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic passive margin |
E169827
|
entity |
| Predicate | sedimentaryCoverThickness |
P77073
|
FINISHED |
| Object | up to several kilometers |
—
|
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: up to several kilometers | Statement: [Atlantic passive margin, sedimentaryCoverThickness, up to several kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sedimentaryCoverThickness Context triple: [Atlantic passive margin, sedimentaryCoverThickness, up to several kilometers]
-
A.
hasCrustalThickness
Indicates the relationship in which an object or region possesses a specified thickness of its crust.
-
B.
sedimentaryStructure
Indicates a relationship where a geological entity exhibits or is characterized by a particular sedimentary structure formed during deposition or shortly thereafter.
-
C.
lithosphericThickness
Indicates the measured or modeled thickness of a planet’s lithosphere at a given location or region.
-
D.
surfaceRegolithDepth_m
Indicates the measured thickness of the loose surface regolith layer at a location, expressed in meters.
-
E.
hasSedimentaryBasin
Indicates that a geological region or area contains or is associated with a sedimentary basin.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f26c050c8190a2d009b45d920490 |
completed | March 27, 2026, 9:11 p.m. |
Created at: March 27, 2026, 3:06 p.m.