Triple
T21787948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudbury Neutrino Observatory |
E537889
|
entity |
| Predicate | heavyWaterMass |
P145646
|
FINISHED |
| Object | about 1,000 tonnes |
—
|
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 1,000 tonnes | Statement: [Sudbury Neutrino Observatory, heavyWaterMass, about 1,000 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heavyWaterMass Context triple: [Sudbury Neutrino Observatory, heavyWaterMass, about 1,000 tonnes]
-
A.
hasNeutralHydrogenMass
Indicates that an entity possesses a specified amount of mass in the form of neutral (non-ionized) hydrogen.
-
B.
hydrogenContent
Indicates the amount or proportion of hydrogen present in a given substance, material, or system.
-
C.
wetWeight
Indicates the weight of an object or substance measured while it still contains its natural or added moisture, before any drying.
-
D.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
E.
waterMassProperty
Indicates a relationship where a specific physical or chemical property is attributed to a body or mass of water.
- 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.