Triple
T8684937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universe |
E206133
|
entity |
| Predicate | ageInYears |
P62450
|
FINISHED |
| Object | 1.38e10 |
—
|
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: 1.38e10 | Statement: [Universe, ageInYears, 1.38e10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInYears Context triple: [Universe, ageInYears, 1.38e10]
-
A.
countsYearsFrom
Indicates a temporal relationship where the number of years is measured starting from a specified reference point or event.
-
B.
ageInGyr
chosen
Indicates the age of an entity expressed in billions of years (gigayears).
-
C.
yearTurned
Indicates the specific year in which an entity changed state, status, or classification (e.g., when it became, reached, or turned into something).
-
D.
yearPassed
Indicates that a specified number of calendar years has elapsed between two time points or events.
-
E.
youthYears
Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4aeae740819099093906ccc5f640 |
completed | March 31, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.