Triple
T18776113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephenson 2 |
E459137
|
entity |
| Predicate | hasEstimatedMass |
P7301
|
FINISHED |
| Object | several 10^4 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: several 10^4 solar masses | Statement: [Stephenson 2, hasEstimatedMass, several 10^4 solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstimatedMass Context triple: [Stephenson 2, hasEstimatedMass, several 10^4 solar masses]
-
A.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
B.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
C.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
D.
systemUsedToDetermineMassOf
Indicates a relationship where a system is employed as the method or tool to measure or calculate the mass of something.
-
E.
obtainsMassVia
Indicates that an entity acquires its mass through a specified process, mechanism, or interaction.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933b912481908bfd97216eacb257 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.