Triple
T34795693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCOGT telescopes |
E1003072
|
entity |
| Predicate | hasFilterSet |
P200669
|
FINISHED |
| Object | standard optical photometric filters |
—
|
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: standard optical photometric filters | Statement: [LCOGT telescopes, hasFilterSet, standard optical photometric filters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilterSet Context triple: [LCOGT telescopes, hasFilterSet, standard optical photometric filters]
-
A.
hasFilterType
Indicates that an entity is associated with, or constrained by, a specific type or category of filter applied to it.
-
B.
usesFilter
Indicates that one entity applies or employs a filter (such as a criterion, condition, or processing mechanism) to another entity or set of data.
-
C.
hasFilterExchangeSystem
Indicates that one entity is equipped with or incorporates a system for exchanging or replacing filters.
-
D.
usesFilterSystem
Indicates that one entity employs or operates a filter system in relation to another entity or context.
-
E.
hasFiltration
Indicates that one entity is equipped with, performs, or is associated with a filtration process or system applied to another entity or substance.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69ff9e90b5248190bdd8d13f966b63e1 |
completed | May 9, 2026, 8:52 p.m. |
Created at: May 3, 2026, 3:59 p.m.