Triple
T11375455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karijini National Park |
E269455
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Tom Price |
E264825
|
NE 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: Tom Price | Statement: [Karijini National Park, nearestTown, Tom Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Price Context triple: [Karijini National Park, nearestTown, Tom Price]
-
A.
Tom Price
chosen
Tom Price is a remote mining town in Western Australia’s Pilbara region, known primarily for its large iron ore operations and surrounding rugged outback landscapes.
-
B.
Tom Price
Tom Price is an American physician and Republican politician who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
-
C.
Bill Frist
Bill Frist is an American physician and Republican politician who served as U.S. Senate Majority Leader in the early 2000s.
-
D.
Alex Azar
Alex Azar is an American attorney and pharmaceutical executive who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
-
E.
Michael S. Turner
Michael S. Turner is an American cosmologist and astrophysicist known for pioneering work on dark energy, inflation, and the early universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568e3e108190ab843236b417f150 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.