Triple
T12274841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangata manu |
E292561
|
entity |
| Predicate | iconographyDepictedOn |
P49031
|
FINISHED |
| Object | rock carvings at Orongo |
—
|
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: rock carvings at Orongo | Statement: [Tangata manu, iconographyDepictedOn, rock carvings at Orongo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographyDepictedOn Context triple: [Tangata manu, iconographyDepictedOn, rock carvings at Orongo]
-
A.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
B.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
C.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
D.
iconographicSubject
chosen
Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
-
E.
depictedDeity
Indicates that one entity is a deity who is shown or represented in an image, artwork, or visual depiction associated with another entity.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.