Triple
T13180184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 90482 Orcus |
E313700
|
entity |
| Predicate | hasDensityGramsPerCubicCentimeter |
P2023
|
FINISHED |
| Object | 1.5 |
—
|
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: 1.5 | Statement: [90482 Orcus, hasDensityGramsPerCubicCentimeter, 1.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDensityGramsPerCubicCentimeter Context triple: [90482 Orcus, hasDensityGramsPerCubicCentimeter, 1.5]
-
A.
hasMeanDensity
chosen
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
B.
givesDensityOf
Indicates that one entity provides or specifies the density value of another entity.
-
C.
hasSpecificGravity
Indicates that one entity has a specific gravity value equal to or characteristic of another entity or reference substance.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
dimensionOfMass
Indicates that something represents or specifies the mass dimension (i.e., the quantitative measure of mass) associated with an 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:14 p.m.