Triple
T15441757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batagaika crater |
E369918
|
entity |
| Predicate | timeOfInitialFormation |
P25023
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Batagaika crater, timeOfInitialFormation, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfInitialFormation Context triple: [Batagaika crater, timeOfInitialFormation, late 20th century]
-
A.
timeSpanOfCreation
Indicates the period of time during which the creation of an entity took place.
-
B.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
C.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
D.
estimatedAgeInMillionsOfYears
Indicates the approximate age of something expressed in units of millions of years.
-
E.
formedAt
chosen
Indicates the time or date at which an entity was created, established, or came into existence.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.