Triple
T19686565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpius X-1 |
E472725
|
entity |
| Predicate | compactObject |
P136922
|
FINISHED |
| Object | neutron star |
—
|
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: neutron star | Statement: [Scorpius X-1, compactObject, neutron star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactObject Context triple: [Scorpius X-1, compactObject, neutron star]
-
A.
compactDesign
Indicates that something has a small, efficiently organized form or layout that minimizes space usage while maintaining functionality.
-
B.
compactificationShape
Indicates the specific geometric or topological form used to compactify extra dimensions or spaces in a theoretical construction.
-
C.
collapsedWith
Indicates that one entity fell down or caved in together with another entity, typically as part of the same collapse event.
-
D.
miniaturizedBy
Indicates that an entity has been made smaller in size or scale by another entity or process.
-
E.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
- F. None of above. chosen
Provenance (4 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420c3f50819082b64b1fa4335e56 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.