Triple
T18956885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6712 |
E463801
|
entity |
| Predicate | showsMassSegregation |
P133952
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [NGC 6712, showsMassSegregation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsMassSegregation Context triple: [NGC 6712, showsMassSegregation, true]
-
A.
segregatedIn
Indicates that one entity is separated or isolated within a specific space, group, or context defined by another entity.
-
B.
segregatedFor
Indicates that one entity is separated or set apart from others specifically for the use, benefit, or association of another entity.
-
C.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
D.
segregatedRepresentation
Indicates that the representation of entities is separated into distinct groups or categories, rather than being combined or integrated.
-
E.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, noon