Triple
T14844530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerne Abbas Giant |
E349050
|
entity |
| Predicate | ageEstimation |
P50923
|
FINISHED |
| Object | early medieval to early modern period (uncertain) |
—
|
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: early medieval to early modern period (uncertain) | Statement: [Cerne Abbas Giant, ageEstimation, early medieval to early modern period (uncertain)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageEstimation Context triple: [Cerne Abbas Giant, ageEstimation, early medieval to early modern period (uncertain)]
-
A.
approximateAgeBeforePresent
Indicates that one entity’s age is an estimated value measured as a time interval before the present moment.
-
B.
ageModel
chosen
Indicates a relationship where one entity specifies or provides the age of another entity, typically in terms of a particular age value or age-related classification.
-
C.
ageRecord
Indicates that there exists a record specifying the age of an entity at a particular time or in a particular context.
-
D.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
E.
agePattern
Indicates a relationship where entities share or follow a specific configuration, distribution, or rule regarding their ages.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.