Triple
T12053734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngilgi Cave |
E286984
|
entity |
| Predicate | hasInterpretiveContent |
P33381
|
FINISHED |
| Object | Aboriginal Dreaming stories |
—
|
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: Aboriginal Dreaming stories | Statement: [Ngilgi Cave, hasInterpretiveContent, Aboriginal Dreaming stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveContent Context triple: [Ngilgi Cave, hasInterpretiveContent, Aboriginal Dreaming stories]
-
A.
hasInterpretiveElement
Indicates that something includes or is associated with an element involving interpretation, such as a subjective, analytical, or explanatory component.
-
B.
hasInterpretiveSigns
Indicates that interpretive or informational signs are present at or associated with the subject.
-
C.
containsInterpretationOf
chosen
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
D.
hasInterpretiveService
Indicates that an entity provides or is associated with interpretive services (such as translation, sign language, or explanatory guidance) for another entity or context.
-
E.
hasInterpretiveStaff
Indicates that an entity provides personnel whose role is to explain, interpret, or facilitate understanding of its content, activities, or environment for others.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.