Triple
T8803333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ptolemaios |
E209462
|
entity |
| Predicate | starCatalogSize |
P7300
|
FINISHED |
| Object | over 1,000 stars |
—
|
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 1,000 stars | Statement: [Ptolemaios, starCatalogSize, over 1,000 stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starCatalogSize Context triple: [Ptolemaios, starCatalogSize, over 1,000 stars]
-
A.
typicalConstellationSize
Indicates the usual or characteristic size associated with a given constellation.
-
B.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
C.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
D.
approximateStellarCount
chosen
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
E.
starsPosition
Indicates that one entity specifies the spatial location or coordinates of a star or group of stars relative to a reference frame.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.