Triple
T5058002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peninsular Ranges Batholith |
E113951
|
entity |
| Predicate | ageDetail |
P61009
|
FINISHED |
| Object | mainly Jurassic to Cretaceous |
—
|
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: mainly Jurassic to Cretaceous | Statement: [Peninsular Ranges Batholith, ageDetail, mainly Jurassic to Cretaceous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDetail Context triple: [Peninsular Ranges Batholith, ageDetail, mainly Jurassic to Cretaceous]
-
A.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
B.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
C.
ageModel
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.
-
D.
ageContext
Indicates the temporal or life-stage context in which an entity’s age is specified or interpreted.
-
E.
agePattern
Indicates a relationship where entities share or follow a specific configuration, distribution, or rule regarding their ages.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.