Triple
T18775605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Star Catalogue |
E459124
|
entity |
| Predicate | fifthEditionStarCount |
P132941
|
FINISHED |
| Object | 9110 |
—
|
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: 9110 | Statement: [Bright Star Catalogue, fifthEditionStarCount, 9110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifthEditionStarCount Context triple: [Bright Star Catalogue, fifthEditionStarCount, 9110]
-
A.
fifthEditionYear
Indicates the year in which the fifth edition of something (e.g., a work, product, or event) was released or took place.
-
B.
fifthInstallmentReleaseYear
Indicates the calendar year in which the fifth installment of a series was released.
-
C.
numberOfMemberStars
Indicates the count of individual stars that are members of a specified stellar system or group.
-
D.
numberOfStellationsClassified
Indicates the count of distinct stellations that have been identified and formally classified for a given object.
-
E.
numberOfCentralStars
Indicates the quantity of central stars associated with or contained within a given entity or system.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ad4288190b17e5fad57d8417d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.