Triple
T31943687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_cs |
E815590
|
entity |
| Predicate | hasMagnitudeLessThan |
P11452
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [V_cs, hasMagnitudeLessThan, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagnitudeLessThan Context triple: [V_cs, hasMagnitudeLessThan, 1]
-
A.
hasMagnitudeProperty
Indicates that an entity is associated with a quantitative magnitude-related property, such as size, intensity, or amount.
-
B.
smallerThan
chosen
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
C.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
-
D.
hasSmallerAmountThan
Indicates that the quantity or amount associated with one entity is less than the quantity or amount associated with another entity.
-
E.
hasLowerDensityThan
Indicates that one entity has a lower density (mass per unit volume) compared to another entity.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
Created at: May 1, 2026, 12:06 a.m.