Triple
T5723582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alnitak |
E126206
|
entity |
| Predicate | radiusSolar |
P57022
|
FINISHED |
| Object | about 20 |
—
|
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 20 | Statement: [Alnitak, radiusSolar, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radiusSolar Context triple: [Alnitak, radiusSolar, about 20]
-
A.
hasRadius_solarRadius
chosen
Indicates that an entity has a radius whose value is expressed in units of the Sun’s radius.
-
B.
approximateDistanceFromSun
Indicates an estimated or rough measure of how far an entity is from the Sun, rather than an exact distance.
-
C.
SunDistanceFromCenter
Indicates the distance between the Sun and the central reference point of a specified system (such as a galaxy or coordinate frame).
-
D.
radiusRelativeToJupiter
Indicates that the radius of one object is expressed as a value relative to the radius of Jupiter.
-
E.
distanceFromSunCategory
Indicates the qualitative category or range into which an entity’s distance from the Sun falls (e.g., very close, moderate, far).
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.