Triple
T9141188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botany Bay |
E219329
|
entity |
| Predicate | arrivalOf |
P49364
|
FINISHED |
| Object | First Fleet in 1788 |
—
|
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: First Fleet in 1788 | Statement: [Botany Bay, arrivalOf, First Fleet in 1788]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalOf Context triple: [Botany Bay, arrivalOf, First Fleet in 1788]
-
A.
arrivalAt
chosen
Indicates the event or state of an entity reaching and being present at a specific destination or location.
-
B.
arrivalTimePattern
Indicates a recurring or structured pattern in the times at which an entity arrives.
-
C.
hasArrivalArea
Indicates that an entity is associated with a specific area designated for arrivals, such as where incoming people or items first enter or are received.
-
D.
attendsTo
Indicates that one entity directs care, attention, or service toward another entity or task.
-
E.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f4df5c8190808edfa7c453a51c |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.