Triple
T13132233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Sufi's Book of Fixed Stars |
E311990
|
entity |
| Predicate | numberOfConstellationsDescribed |
P66098
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Al-Sufi's Book of Fixed Stars, numberOfConstellationsDescribed, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConstellationsDescribed Context triple: [Al-Sufi's Book of Fixed Stars, numberOfConstellationsDescribed, 48]
-
A.
numberOfConstellations
chosen
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.
typicalConstellationSize
Indicates the usual or characteristic size associated with a given constellation.
-
D.
constellationType
Indicates that one entity is classified as a specific type or category of constellation in relation to another entity.
-
E.
relatedConstellation
Indicates a relationship where one entity is associated with, connected to, or corresponds to a particular constellation.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.