Triple
T1309003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna |
E27944
|
entity |
| Predicate | relativeSizeToEarth |
P27811
|
FINISHED |
| Object | about one quarter of Earth’s diameter |
—
|
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: about one quarter of Earth’s diameter | Statement: [Luna, relativeSizeToEarth, about one quarter of Earth’s diameter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeToEarth Context triple: [Luna, relativeSizeToEarth, about one quarter of Earth’s diameter]
-
A.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
B.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
-
C.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
D.
hasPolarDiameter_km
Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
-
E.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.