Triple
T4617810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open cluster M25 |
E100907
|
entity |
| Predicate | observationalCategory |
P56978
|
FINISHED |
| Object | young open cluster |
—
|
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: young open cluster | Statement: [Open cluster M25, observationalCategory, young open cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalCategory Context triple: [Open cluster M25, observationalCategory, young open cluster]
-
A.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
-
B.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
C.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
D.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
-
E.
observationalChallenge
Indicates a situation where accurately perceiving, measuring, or interpreting something is difficult due to limitations or obstacles in observation.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.