Triple
T23461234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abell 3559 |
E568978
|
entity |
| Predicate | hasScientificStudyTopic |
P32891
|
FINISHED |
| Object | galaxy evolution in dense environments |
—
|
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: galaxy evolution in dense environments | Statement: [Abell 3559, hasScientificStudyTopic, galaxy evolution in dense environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificStudyTopic Context triple: [Abell 3559, hasScientificStudyTopic, galaxy evolution in dense environments]
-
A.
hasScientificStudy
chosen
Indicates that there exists a scientific study that investigates, analyzes, or provides evidence about the referenced entity or relationship.
-
B.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
-
C.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
D.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
E.
conductedResearchOn
Indicates that an entity has performed or carried out research concerning another entity or topic.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69bc200819096ed2baf25cdee4f |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:53 p.m.