Triple
T2344792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoebe |
E45105
|
entity |
| Predicate | rotationPeriod_hours |
P38870
|
FINISHED |
| Object | approximately 9.27 |
—
|
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: approximately 9.27 | Statement: [Phoebe, rotationPeriod_hours, approximately 9.27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationPeriod_hours Context triple: [Phoebe, rotationPeriod_hours, approximately 9.27]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
C.
dosingInterval
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
-
D.
tienePeriodicidad
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
-
E.
timeUnitOfFrequency
Indicates the unit of time (e.g., day, week, month) in which a given frequency is measured or expressed.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcadd2a0c8190b6973d390e98bd66 |
completed | March 7, 2026, 6:51 a.m. |
Created at: March 4, 2026, 7:52 p.m.