Triple
T21885112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 1300 |
E540384
|
entity |
| Predicate | hasCentralRegionFeature |
P139304
|
FINISHED |
| Object | inner grand-design spiral within bar |
—
|
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: inner grand-design spiral within bar | Statement: [NGC 1300, hasCentralRegionFeature, inner grand-design spiral within bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralRegionFeature Context triple: [NGC 1300, hasCentralRegionFeature, inner grand-design spiral within bar]
-
A.
hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
-
B.
hasRegionCenter
Indicates that a region is associated with a specific central point or location that serves as its geometric or administrative center.
-
C.
hasCentralTownFeature
Indicates that a town possesses a specific central feature or focal element (such as a landmark, square, or facility) that characterizes its core area.
-
D.
hasCenterFeature
chosen
Indicates that an entity possesses a specific feature or element located at its center.
-
E.
hasCentralLandmark
Indicates that a place or area contains a primary or defining landmark located at or near its center.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.