Triple
T33829669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIP 107556 |
E867061
|
entity |
| Predicate | massOfSecondary |
P146047
|
FINISHED |
| Object | about 0.7 solar masses |
—
|
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: about 0.7 solar masses | Statement: [HIP 107556, massOfSecondary, about 0.7 solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massOfSecondary Context triple: [HIP 107556, massOfSecondary, about 0.7 solar masses]
-
A.
massOfSecondaryComponent
chosen
Indicates the mass value associated specifically with the secondary component in a composite or multi-part system.
-
B.
hasMassSecondary
Indicates that an entity possesses or is associated with the mass value of a secondary object or component in a system.
-
C.
massOfPrimary
Indicates the mass value associated with the primary object in a relationship or system.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
hasRadiusOfSecondary
Indicates that an entity has a secondary radius whose value or measurement is specified by the related entity.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7002143188190aed5ea871608fbc5 |
completed | May 3, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.