Triple
T21787993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | experiments at the Sudbury Neutrino Observatory |
E537890
|
entity |
| Predicate | usedTargetMass |
P145649
|
FINISHED |
| Object | about 1000 tonnes of heavy water |
—
|
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 1000 tonnes of heavy water | Statement: [experiments at the Sudbury Neutrino Observatory, usedTargetMass, about 1000 tonnes of heavy water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTargetMass Context triple: [experiments at the Sudbury Neutrino Observatory, usedTargetMass, about 1000 tonnes of heavy water]
-
A.
systemUsedToDetermineMassOf
Indicates a relationship where a system is employed as the method or tool to measure or calculate the mass of something.
-
B.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
C.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
returnedSampleMass
Indicates that a specified amount of mass was brought back or retrieved as a sample from a source or mission.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.