Triple
T23401343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abell 3558 |
E559511
|
entity |
| Predicate | hasHotGas |
P63267
|
FINISHED |
| Object | intracluster 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: intracluster medium | Statement: [Abell 3558, hasHotGas, intracluster medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotGas Context triple: [Abell 3558, hasHotGas, intracluster medium]
-
A.
containsHotGas
chosen
Indicates that one entity encloses or holds within it a quantity or region of hot gas.
-
B.
hasColdGas
Indicates that an entity possesses or contains cold gas, typically referring to gas at relatively low temperatures in an astrophysical or physical context.
-
C.
hasGasMass
Indicates that an entity possesses a specified amount of gas mass as one of its physical properties.
-
D.
isHot
Indicates that an entity has a high temperature or is perceived as very warm.
-
E.
hasIonizedGas
Indicates that an entity contains or is associated with gas that has been ionized (i.e., atoms or molecules with electrons removed or added).
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.