Triple
T19643618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oort constants |
E471607
|
entity |
| Predicate | quantify |
P4227
|
FINISHED |
| Object | local rotational properties of the Milky Way |
—
|
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: local rotational properties of the Milky Way | Statement: [Oort constants, quantify, local rotational properties of the Milky Way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quantify Context triple: [Oort constants, quantify, local rotational properties of the Milky Way]
-
A.
quantifies
chosen
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
-
B.
quantificationType
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
C.
quantifiesOver
Indicates that one entity expresses a quantity, measurement, or numerical specification that applies to or ranges over another entity.
-
D.
usesQuantification
Indicates that one entity employs or applies a system of quantification (such as numerical or measurable assessment) to another entity or context.
-
E.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641239ca08190a8bb8854f21ab562 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.