Triple
T27316773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardipithecus |
E689369
|
entity |
| Predicate | earliestAgeApproxMa |
P167321
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Ardipithecus, earliestAgeApproxMa, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestAgeApproxMa Context triple: [Ardipithecus, earliestAgeApproxMa, 7]
-
A.
latestAgeApproxMa
Indicates the most recent estimated age of something expressed in millions of years (Ma), typically as an approximate upper or younger bound in time.
-
B.
approximateAgeMa
Indicates that one entity has an estimated or approximate age value relative to another reference (such as a person or event).
-
C.
estimatedAgeInMillionsOfYears
Indicates the approximate age of something expressed in units of millions of years.
-
D.
age_Ma
Indicates the age of something measured in millions of years (mega-annum).
-
E.
approximateAgeBeforePresent
Indicates that one entity’s age is an estimated value measured as a time interval before the present moment.
- 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 27, 2026, 11:31 a.m.