Triple
T21268373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODP Leg 145 |
E524188
|
entity |
| Predicate | studiesTimeInterval |
P58040
|
FINISHED |
| Object | Cenozoic |
—
|
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: Cenozoic | Statement: [ODP Leg 145, studiesTimeInterval, Cenozoic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesTimeInterval Context triple: [ODP Leg 145, studiesTimeInterval, Cenozoic]
-
A.
originalTimeInterval
Indicates the initial or primary time span during which an event, state, or relationship is considered to occur, before any adjustments or derived intervals.
-
B.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
timePeriodAnalyzed
chosen
Indicates that a specified time period is the focus or scope of an analysis or evaluation.
-
E.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ee38cc81909b4e7c5996bb64f9 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4 p.m.