Triple
T35635636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villers-Bretonneux Military Cemetery |
E1029712
|
entity |
| Predicate | primaryNationalityCommemorated |
P106759
|
FINISHED |
| Object | Australian |
—
|
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: Australian | Statement: [Villers-Bretonneux Military Cemetery, primaryNationalityCommemorated, Australian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNationalityCommemorated Context triple: [Villers-Bretonneux Military Cemetery, primaryNationalityCommemorated, Australian]
-
A.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
-
B.
commemoratesToCountry
Indicates that something serves as a memorial or tribute to a particular country.
-
C.
commemoratedPersonNationality
chosen
Indicates the nationality of the person who is being commemorated.
-
D.
countryOfCommemoration
Indicates the country in which a person, event, or entity is formally commemorated or honored.
-
E.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.