Triple
T19809481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birubi Beach |
E475903
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Anna Bay |
—
|
NE NERFINISHED |
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: Anna Bay | Statement: [Birubi Beach, nearby, Anna Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Bay Context triple: [Birubi Beach, nearby, Anna Bay]
-
A.
Anna Bay
chosen
Anna Bay is a coastal town in New South Wales, Australia, known for its access to the Stockton Beach sand dunes and its role as a gateway to the Port Stephens region.
-
B.
Nina Wass
Nina Wass is a television producer known for her executive work on drama series such as "Shades of Blue."
-
C.
Ann Odre
Ann Odre was an American woman who became known for being seriously wounded during the 1981 assassination attempt on Pope John Paul II in St. Peter’s Square.
-
D.
Alexandra Borruso
Alexandra Borruso is an actress known for her role in the psychological thriller film "You Were Never Really Here."
-
E.
Anne Borg
Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542ac1b48190a0cb69dbceca74da |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.