Triple
T11176250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSST Camera |
E264420
|
entity |
| Predicate | hasTypicalVisitTime |
P6833
|
FINISHED |
| Object | 30 seconds |
—
|
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: 30 seconds | Statement: [LSST Camera, hasTypicalVisitTime, 30 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalVisitTime Context triple: [LSST Camera, hasTypicalVisitTime, 30 seconds]
-
A.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
-
B.
hasTypicalAttendance
Indicates the usual or characteristic number of attendees associated with an event, venue, or activity.
-
C.
hasVisitation
Indicates that one entity visits, or is allowed or scheduled to visit, another entity or location.
-
D.
hasRevisitTime
Indicates the interval or schedule at which an entity is revisited, repeated, or observed again.
-
E.
typicalTimes
chosen
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.