Triple
T18443848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6520 |
E450602
|
entity |
| Predicate | observationalFeature |
P61693
|
FINISHED |
| Object | contrasts strongly with adjacent dark nebula |
—
|
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: contrasts strongly with adjacent dark nebula | Statement: [NGC 6520, observationalFeature, contrasts strongly with adjacent dark nebula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalFeature Context triple: [NGC 6520, observationalFeature, contrasts strongly with adjacent dark nebula]
-
A.
observationalProperty
chosen
Indicates a characteristic or attribute of an entity that can be observed or measured, typically used to describe how it appears or behaves under observation.
-
B.
observatoryFeature
Indicates that one entity is a feature, component, or characteristic of an observatory.
-
C.
observationalCategory
Indicates that one entity classifies or groups another entity based on the type or category of observation it represents.
-
D.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
E.
hasObservationFeatures
Indicates that an observation is associated with specific measurable or descriptive features that characterize it.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c142abc8190b4f6f938acdc413d |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.