Triple
T17360175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toba Caldera Geopark |
E422046
|
entity |
| Predicate | hasAgeContext |
P32800
|
FINISHED |
| Object | Quaternary |
—
|
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: Quaternary | Statement: [Toba Caldera Geopark, hasAgeContext, Quaternary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeContext Context triple: [Toba Caldera Geopark, hasAgeContext, Quaternary]
-
A.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
B.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
C.
ageContext
chosen
Indicates the temporal or life-stage context in which an entity’s age is specified or interpreted.
-
D.
hasAgeFocus
Indicates a relationship where something is characterized or distinguished by a particular age group or age-related emphasis.
-
E.
hasApproximateAgeRange
Indicates that one entity is associated with another entity representing an estimated or non-exact span of 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.