Triple
T20457072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 5102 |
E501818
|
entity |
| Predicate | disk |
P136154
|
FINISHED |
| Object | lens-like stellar 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: lens-like stellar disk | Statement: [NGC 5102, disk, lens-like stellar disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disk Context triple: [NGC 5102, disk, lens-like stellar disk]
-
A.
diskType
chosen
Indicates the specific kind or category of disk associated with or used by an entity.
-
B.
mechanicalDrive
Indicates a relationship where one entity transmits mechanical power or motion to another, typically via components like gears, belts, or shafts.
-
C.
diskRole
Indicates the functional role or purpose a disk plays within a storage configuration or system (e.g., primary, backup, cache, or log).
-
D.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
-
E.
disc
Indicates that one entity discourages, dissuades, or expresses disapproval toward another entity’s action, plan, or state.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.