Triple
T3058367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitjantjatjara |
E60535
|
entity |
| Predicate | connectionToLand |
P37306
|
FINISHED |
| Object | strong spiritual connection to Uluru |
—
|
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: strong spiritual connection to Uluru | Statement: [Pitjantjatjara, connectionToLand, strong spiritual connection to Uluru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectionToLand Context triple: [Pitjantjatjara, connectionToLand, strong spiritual connection to Uluru]
-
A.
connectionTo
chosen
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
connectsLandform
Indicates a relationship where one landform serves as a physical link or passage between two or more other landforms.
-
C.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
D.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
-
E.
connectivity
Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e1741648190b710b7022252498d |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.