Triple
T6327500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeiDou |
E141895
|
entity |
| Predicate | constellationSize |
P25781
|
FINISHED |
| Object | over 30 satellites |
—
|
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: over 30 satellites | Statement: [BeiDou, constellationSize, over 30 satellites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constellationSize Context triple: [BeiDou, constellationSize, over 30 satellites]
-
A.
typicalConstellationSize
chosen
Indicates the usual or characteristic size associated with a given constellation.
-
B.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
C.
constellationType
Indicates that one entity is classified as a specific type or category of constellation in relation to another entity.
-
D.
numberOfConstellations
Indicates the total count of constellations associated with a given subject.
-
E.
isOneOfLargestConstellations
Indicates that the subject constellation belongs to the group of constellations with the greatest angular area in the sky.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.