Triple
T16342606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian war memorials |
E396843
|
entity |
| Predicate | typicalCeremony |
P3305
|
FINISHED |
| Object | dawn service |
—
|
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: dawn service | Statement: [Australian war memorials, typicalCeremony, dawn service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCeremony Context triple: [Australian war memorials, typicalCeremony, dawn service]
-
A.
ceremonyType
chosen
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
B.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject entity.
-
C.
isCeremonial
Indicates that something is associated with, intended for, or used in a formal ceremony or ritual rather than for ordinary or practical purposes.
-
D.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
E.
officiatedEvent
Indicates that an entity formally presided over, supervised, or conducted an event in an official capacity.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0b88d081908a99cafa8e0ae5db |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.