Triple
T35237698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bondi mass |
E1017419
|
entity |
| Predicate | massLossRateProportionalTo |
P182644
|
FINISHED |
| Object | square of Bondi news |
—
|
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: square of Bondi news | Statement: [Bondi mass, massLossRateProportionalTo, square of Bondi news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massLossRateProportionalTo Context triple: [Bondi mass, massLossRateProportionalTo, square of Bondi news]
-
A.
massLossRate
Indicates the rate at which an object or system is losing mass over time.
-
B.
massLossDriver
Indicates the primary process or factor responsible for causing a reduction in mass of the referenced entity.
-
C.
hasMassLoss
Indicates that an entity undergoes a reduction in its mass over time or as a result of some process or interaction.
-
D.
massLoadingRate
Indicates the rate at which mass is added to or removed from a system or region over time.
-
E.
durabilityLossRate
Indicates the rate at which an entity’s durability decreases over time or use.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.