Triple
T156283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solar System |
E3187
|
entity |
| Predicate | hasSmallBodyPopulation |
P7299
|
FINISHED |
| Object | near-Earth objects |
—
|
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: near-Earth objects | Statement: [Solar System, hasSmallBodyPopulation, near-Earth objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallBodyPopulation Context triple: [Solar System, hasSmallBodyPopulation, near-Earth objects]
-
A.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
B.
hasNaturalSatellite
Indicates that one celestial body is orbited by another body that occurs naturally as its satellite.
-
C.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
hasRotationPeriod
Indicates that one entity has a specified duration for completing a full rotation around its own axis.
-
E.
isSmallestCountryIn
Indicates that a country is the smallest (by a specified measure, typically area) among all countries within a given region or set.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587e598c81909e1082b813971f48 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.