Triple
T2977058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transiting Exoplanet Survey Satellite |
E80422
|
entity |
| Predicate | sectorObservationTime |
P44356
|
FINISHED |
| Object | about 27 days per sector |
—
|
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: about 27 days per sector | Statement: [Transiting Exoplanet Survey Satellite, sectorObservationTime, about 27 days per sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorObservationTime Context triple: [Transiting Exoplanet Survey Satellite, sectorObservationTime, about 27 days per sector]
-
A.
observedBySector
Indicates that something (such as an event, object, or phenomenon) is monitored, detected, or recorded by a specific sector or segment.
-
B.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
C.
alsoObservedOn
Indicates that the same entity, event, or phenomenon was additionally observed on another occasion, date, or context beyond the primary one referenced.
-
D.
isObservedIn
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
-
E.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.