Triple
T22400749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abell 262 |
E553750
|
entity |
| Predicate | hasXRayLuminosity |
P135127
|
FINISHED |
| Object | low X-ray luminosity compared to rich clusters |
—
|
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: low X-ray luminosity compared to rich clusters | Statement: [Abell 262, hasXRayLuminosity, low X-ray luminosity compared to rich clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasXRayLuminosity Context triple: [Abell 262, hasXRayLuminosity, low X-ray luminosity compared to rich clusters]
-
A.
XRayLuminosity
chosen
Indicates the amount of energy an object emits in the form of X-ray radiation.
-
B.
hasXRaySources
Indicates that an entity possesses or is associated with one or more X-ray emitting sources.
-
C.
hasLowLuminosity
Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
-
D.
hasMaserEmission
Indicates that an object exhibits detectable maser (microwave amplification by stimulated emission of radiation) emission.
-
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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b39c908190a735aa860d733869 |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.