Triple
T14404146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ribos Operation |
E357152
|
entity |
| Predicate | segmentNumberInKeyToTime |
P86484
|
FINISHED |
| Object | first segment |
—
|
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: first segment | Statement: [The Ribos Operation, segmentNumberInKeyToTime, first segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentNumberInKeyToTime Context triple: [The Ribos Operation, segmentNumberInKeyToTime, first segment]
-
A.
segmentPosition
chosen
Indicates the relative location or ordering of a segment within a larger sequence or structure.
-
B.
timeInSeries
Indicates that one temporal value occurs within the duration or sequence span defined by another in a series.
-
C.
lengthInSeconds
Indicates that one entity specifies the duration of another entity measured in seconds.
-
D.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
E.
timeIndexed
Indicates that the relationship or property it connects is associated with, or valid during, a specific time or time interval.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.