Triple
T23782991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIP 21432 |
E587867
|
entity |
| Predicate | hasBayerFlamsteedDesignation |
P153920
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [HIP 21432, hasBayerFlamsteedDesignation, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBayerFlamsteedDesignation Context triple: [HIP 21432, hasBayerFlamsteedDesignation, none]
-
A.
hasNumberOfBayerFlamsteedStars
Indicates the quantity of stars in a constellation that have either Bayer or Flamsteed designations.
-
B.
bayerDesignation
Indicates the assignment of a star’s Bayer designation, linking a star to its specific Greek-letter-plus-constellation label used in astronomy.
-
C.
hasBayerConstellation
Indicates that one entity is associated with the Bayer-designated constellation to which the other entity belongs.
-
D.
hasBrightStarDesignation
Indicates that an entity is assigned a specific identifier in the Bright Star Catalogue.
-
E.
hasBayerStars
Indicates that an astronomical object is associated with one or more stars identified by their Bayer designations.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62ea9c0819083544822267d3215 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:16 p.m.