Triple
T16692568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cygnus |
E405628
|
entity |
| Predicate | IAUConstellationNumber |
P124268
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Cygnus, IAUConstellationNumber, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IAUConstellationNumber Context triple: [Cygnus, IAUConstellationNumber, 21]
-
A.
numberOfConstellations
Indicates the total count of constellations associated with a given subject.
-
B.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
C.
IAUConstellationCode
Indicates the standardized three-letter code assigned by the International Astronomical Union (IAU) that identifies the constellation in which an object is located.
-
D.
typicalConstellationSize
Indicates the usual or characteristic size associated with a given constellation.
-
E.
areaRankAmongConstellations
Indicates the relative position of a constellation in an ordered list based on its sky area compared to other constellations.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.