Triple
T26091451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goolwa Wharf |
E658133
|
entity |
| Predicate | culturalSignificance |
P428
|
FINISHED |
| Object | heritage tourism destination in South Australia |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: heritage tourism destination in South Australia | Statement: [Goolwa Wharf, culturalSignificance, heritage tourism destination in South Australia]
Provenance (2 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607329ac88190b415a64e2fdc2ac2 |
completed | May 2, 2026, 2:16 p.m. |
Created at: April 26, 2026, 7:47 p.m.