Triple
T28880727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW170814 |
E732408
|
entity |
| Predicate | hasSourceFrameTotalMass |
P178596
|
FINISHED |
| Object | ~56 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: ~56 solar masses | Statement: [GW170814, hasSourceFrameTotalMass, ~56 solar masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSourceFrameTotalMass Context triple: [GW170814, hasSourceFrameTotalMass, ~56 solar masses]
-
A.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
B.
hasMassTerm
Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
-
C.
hasMasses
Indicates that one entity possesses or is associated with one or more masses (quantities of matter).
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
hasMassBalance
Indicates that one entity maintains or specifies the conservation and accounting of mass flows relative to another 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 28, 2026, 7:43 a.m.