Triple
T22858671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2506 |
E566850
|
entity |
| Predicate | massSegregation |
P150001
|
FINISHED |
| Object | present |
—
|
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: present | Statement: [NGC 2506, massSegregation, present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massSegregation Context triple: [NGC 2506, massSegregation, present]
-
A.
segregationBasis
Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
-
B.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
C.
raceSegregationStatus
Indicates whether entities are separated, treated differently, or organized based on racial categories or distinctions.
-
D.
segregatedIn
Indicates that one entity is separated or isolated within a specific space, group, or context defined by another entity.
-
E.
segregatedFor
Indicates that one entity is separated or set apart from others specifically for the use, benefit, or association of another entity.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebf1838819092b2b99205a2192f |
completed | April 29, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:37 p.m.