Triple
T822442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booderee National Park |
E17778
|
entity |
| Predicate | hasAboriginalNameMeaning |
P1966
|
FINISHED |
| Object | “bay of plenty” |
—
|
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: “bay of plenty” | Statement: [Booderee National Park, hasAboriginalNameMeaning, “bay of plenty”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAboriginalNameMeaning Context triple: [Booderee National Park, hasAboriginalNameMeaning, “bay of plenty”]
-
A.
meaningOfNativeName
chosen
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
-
B.
hasTraditionalOwner
Indicates that an entity is recognized as the customary or ancestral owner or custodian of another entity, typically land, territory, or a cultural site.
-
C.
hasEndonym
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
-
D.
hasTraditionalName
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab976094819086d676404d745750 |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa76a7808190ac7fd9ba1a4cebcb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.