Triple
T5379474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awabakal people |
E113045
|
entity |
| Predicate | traditionalLandIncludes |
P63643
|
FINISHED |
| Object | coastal areas around Newcastle |
—
|
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: coastal areas around Newcastle | Statement: [Awabakal people, traditionalLandIncludes, coastal areas around Newcastle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalLandIncludes Context triple: [Awabakal people, traditionalLandIncludes, coastal areas around Newcastle]
-
A.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
-
B.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
-
C.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
D.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
E.
traditionalHomeVenueCity
Indicates the city that has historically served as the primary home venue location for an entity, such as a team or performer.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd887f5b0081909456992d1a071928 |
completed | March 20, 2026, 5:48 p.m. |
Created at: March 20, 2026, 2:03 p.m.