Triple
T8358495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labrador Sea Water |
E196739
|
entity |
| Predicate | densityClass |
P82291
|
FINISHED |
| Object | σθ ≈ 27.7–27.8 kg/m³ |
—
|
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: σθ ≈ 27.7–27.8 kg/m³ | Statement: [Labrador Sea Water, densityClass, σθ ≈ 27.7–27.8 kg/m³]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: densityClass Context triple: [Labrador Sea Water, densityClass, σθ ≈ 27.7–27.8 kg/m³]
-
A.
depthClass
Indicates the categorical classification of an entity based on its depth or depth-related range.
-
B.
densityComparedTo
Indicates a comparison between the densities of two entities, specifying which is denser or how their densities relate.
-
C.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
D.
concentrationClass
Indicates the classification of an entity based on the level or range of its concentration.
-
E.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb806fa5c88190b23b6b3ee9d6ec6d |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:59 p.m.