Triple
T21026274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M49 |
E517948
|
entity |
| Predicate | xRayEmissionOrigin |
P56832
|
FINISHED |
| Object | hot intracluster gas |
—
|
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: hot intracluster gas | Statement: [M49, xRayEmissionOrigin, hot intracluster gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: xRayEmissionOrigin Context triple: [M49, xRayEmissionOrigin, hot intracluster gas]
-
A.
XRayLuminosity
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.
primaryBeamSource
Indicates that an entity serves as the originating source of a primary beam used or produced by another entity.
-
D.
ionizingSource
Indicates that the subject acts as a source that produces or emits ionizing radiation affecting the object.
-
E.
physicalOrigin
chosen
Indicates that one entity is the place or source from which another entity physically originates or comes into existence.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7c262c8190bceb8fd26be76983 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.