Triple
T18458077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2244 |
E450955
|
entity |
| Predicate | stellarWindEffect |
P68085
|
FINISHED |
| Object | clears gas and dust from cluster center |
—
|
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: clears gas and dust from cluster center | Statement: [NGC 2244, stellarWindEffect, clears gas and dust from cluster center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stellarWindEffect Context triple: [NGC 2244, stellarWindEffect, clears gas and dust from cluster center]
-
A.
hasStellarWind
chosen
Indicates that an astronomical object emits a continuous outflow of gas or charged particles, known as a stellar wind, into the surrounding space.
-
B.
stellarEnvironment
Indicates the surrounding physical and spatial conditions associated with a star, such as its nearby matter, radiation fields, and local cosmic environment.
-
C.
ashCloudEffect
Indicates the impact or consequences that an ash cloud has on other entities, conditions, or processes.
-
D.
fireEffect
Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on another entity.
-
E.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.