Triple
T19377537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach Head War Cemetery |
E484709
|
entity |
| Predicate | commemoratesForces |
P135736
|
FINISHED |
| Object | Commonwealth military personnel |
—
|
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: Commonwealth military personnel | Statement: [Beach Head War Cemetery, commemoratesForces, Commonwealth military personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesForces Context triple: [Beach Head War Cemetery, commemoratesForces, Commonwealth military personnel]
-
A.
militaryBranchCommemorated
Indicates that one entity serves to honor or memorialize a specific branch of the military.
-
B.
commemoratesUnit
Indicates that one entity serves as a memorial or tribute recognizing, honoring, or remembering a specific unit.
-
C.
commemoratesConflict
Indicates a relationship where something (such as a monument, event, or work) serves to remember, honor, or mark a specific conflict or war.
-
D.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
-
E.
commemoratesToCountry
Indicates that something serves as a memorial or tribute to a particular country.
- F. None of above. chosen
Provenance (4 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.