Triple
T18695603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 87 |
E457106
|
entity |
| Predicate | XrayEmissionSource |
P57003
|
FINISHED |
| Object | intra-cluster medium |
—
|
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: intra-cluster medium | Statement: [Messier 87, XrayEmissionSource, intra-cluster medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: XrayEmissionSource Context triple: [Messier 87, XrayEmissionSource, intra-cluster medium]
-
A.
ionizingSource
Indicates that the subject acts as a source that produces or emits ionizing radiation affecting the object.
-
B.
hasXRaySources
chosen
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.
radiatedFrom
Indicates that something (such as energy, particles, or influence) originates at a source and spreads outward from that source.
-
E.
notableIonizingStar
Indicates that a star plays a significant role in ionizing surrounding gas or material, typically dominating the local ionization environment.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.