Triple
T33933481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill 70 Memorial |
E869965
|
entity |
| Predicate | commemoratesCasualtiesFrom |
P135736
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [Hill 70 Memorial, commemoratesCasualtiesFrom, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesCasualtiesFrom Context triple: [Hill 70 Memorial, commemoratesCasualtiesFrom, Canada]
-
A.
commemoratesForces
chosen
Indicates a relationship where something serves to honor or remember military or armed forces for their service or sacrifice.
-
B.
commemoratesPersonDeath
Indicates that an event, object, or action serves to honor or mark the death of a specific person.
-
C.
memorializesDeathsDuring
Indicates a relationship in which something serves as a memorial specifically for deaths that occurred during a particular event, period, or circumstance.
-
D.
commemoratesConflict
Indicates a relationship where something (such as a monument, event, or work) serves to remember, honor, or mark a specific conflict or war.
-
E.
commemoratesField
Indicates that one entity serves to honor, remember, or mark the significance of another entity, event, or achievement.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 1:49 a.m.