Triple
T2375133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera C. Rubin Observatory |
E46179
|
entity |
| Predicate | exposureTime |
P38789
|
FINISHED |
| Object | two 15-second exposures per visit |
—
|
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: two 15-second exposures per visit | Statement: [Vera C. Rubin Observatory, exposureTime, two 15-second exposures per visit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposureTime Context triple: [Vera C. Rubin Observatory, exposureTime, two 15-second exposures per visit]
-
A.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
B.
transmissionDuration
Indicates the length of time over which a transmission or transfer of data, signal, or content occurs.
-
C.
evaDuration
Indicates the length of time that an extravehicular activity (EVA) lasts or is scheduled to last.
-
D.
showDuration
Indicates the length of time for which something is shown, displayed, or performed.
-
E.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abca4c937c8190b4dfca716b868d4f |
completed | March 7, 2026, 6:48 a.m. |
Created at: March 4, 2026, 7:56 p.m.