Triple
T20668305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fornax 4 |
E507949
|
entity |
| Predicate | hasStellarDensity |
P131631
|
FINISHED |
| Object | high central concentration |
—
|
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: high central concentration | Statement: [Fornax 4, hasStellarDensity, high central concentration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStellarDensity Context triple: [Fornax 4, hasStellarDensity, high central concentration]
-
A.
stellarDensity
chosen
Indicates the concentration of stellar objects within a given region of space, typically measured as the number of stars per unit volume.
-
B.
hasStellarShells
Indicates that an astronomical object possesses one or more surrounding shell-like stellar structures.
-
C.
hasHighGalaxyDensity
Indicates that a region of space contains an unusually large number of galaxies per unit volume compared to typical cosmic environments.
-
D.
hasStellarStream
Indicates that one astronomical object possesses or is associated with a coherent flow of stars, known as a stellar stream, typically resulting from tidal interactions or disruption.
-
E.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.