Triple
T23244054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic thick disk |
E581534
|
entity |
| Predicate | hasRotationalLag |
P151505
|
FINISHED |
| Object | rotates more slowly than thin disk |
—
|
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: rotates more slowly than thin disk | Statement: [Galactic thick disk, hasRotationalLag, rotates more slowly than thin disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRotationalLag Context triple: [Galactic thick disk, hasRotationalLag, rotates more slowly than thin disk]
-
A.
hasRotationalVelocity
Indicates that an entity is rotating and specifies the rate and direction of its angular motion around an axis.
-
B.
hasRotationFrequency
Indicates that one entity possesses or is characterized by a specific rate at which it rotates over time.
-
C.
hasRotation
Indicates that one entity is rotated with respect to another, or possesses a specific rotational orientation or motion.
-
D.
hasRotationMechanic
Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
-
E.
isRotational
Indicates that one entity moves, transforms, or is oriented by rotating around a point, axis, or center relative to another.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:10 p.m.